question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I am using IDL regression function to compute the multiple linear correlation coefficient...</p>
<pre><code>x = [transpose(anom1),transpose(anom2),transpose(anom3)]
coef = regress(x,y, const=a0, correlation=corr, mcorrelation=mcorr, sigma=stderr)
</code></pre>
<p><code>mcorr</code> is returned with values between ... | g68752 | [
0.00884589646011591,
-0.016532592475414276,
-0.00045377761125564575,
-0.04589013382792473,
0.008347555994987488,
-0.04683877155184746,
0.03536709025502205,
0.022965777665376663,
-0.0539403036236763,
-0.030103784054517746,
-0.036395762115716934,
0.026564190164208412,
0.009225678630173206,
-... |
<p>Confidence intervals for binomial proportions have irregular coverage over the range of possible population parameters (e.g. see Brown et al. 2001 <a href="http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ss/1009213286" rel="nofollow">http://projecteuclid.org/DPubS?service... | g42198 | [
0.03861900791525841,
-0.0011504505528137088,
-0.012608957476913929,
-0.046930696815252304,
0.023872675374150276,
0.04037008434534073,
-0.001589676714502275,
0.006333586294203997,
-0.007364790420979261,
-0.009069724939763546,
-0.003859931603074074,
-0.03539934381842613,
0.04226413369178772,
... |
<p>I was reading the book Pattern Recognition and Machine Learning by Bishop, which stated that for the first order Markov chain with K states, the number of parameters is K(K-1). </p>
<p>Why is that? I think it should have been just K-1, because if we have $p(x_n|x_{n-1})$ for n=2 to K that will only be K-1, correct?... | g68753 | [
-0.010724149644374847,
0.03724243864417076,
0.013200853951275349,
0.02306976169347763,
0.02378224954009056,
-0.02015634812414646,
-0.031093008816242218,
0.055396296083927155,
-0.034095946699380875,
0.008379964157938957,
-0.019419167190790176,
0.014182115904986858,
0.05596728250384331,
0.04... |
<p>My exact problem is this.</p>
<p>I have a number of sources of traffic with different conversion rates. I have good evidence that conversion rates vary based on the source. For each traffic source I have how many leads we got, and how many converted. I want an estimate of each source's conversion rate. I do not... | g407 | [
-0.018806740641593933,
0.023512663319706917,
-0.00527907395735383,
-0.08973749727010727,
-0.1051633208990097,
-0.042940620332956314,
0.04560933634638786,
0.0346553660929203,
0.0020073859486728907,
-0.022982338443398476,
0.03288421407341957,
-0.01739504747092724,
-0.00931059941649437,
0.002... |
<p>I am testing a model which involves three variables. I am testing a partial mediation model.
In SPSS, when I calculate bivariate correlation among these three variables, the maximum correlation (say between B&C) I get is -.530 . However, using AMOS and testing for discriminant validity, I get the correlation as ... | g28900 | [
0.04608066752552986,
-0.0803472250699997,
0.02014218084514141,
-0.03354116901755333,
0.006624558009207249,
0.025256237015128136,
0.020579932257533073,
0.08479473739862442,
0.028885986655950546,
-0.052910566329956055,
0.022768979892134666,
0.0074603259563446045,
0.03292575106024742,
0.00828... |
<p>I have daily measurements of nitrogen dioxide for one year (365 days) and the <strong>interquartile</strong> (IQR) is 24 microgram per cubic meter. What does "24" mean in this context, apart from the definition of IQR which is the difference between <strong>the 25th and 75th percentile</strong>? How would you explai... | g68754 | [
0.04374898970127106,
0.01258939690887928,
-0.020427826792001724,
-0.014139815233647823,
-0.022911345586180687,
-0.009684605523943901,
0.026778900995850563,
-0.018051298335194588,
-0.054504115134477615,
-0.08519447594881058,
-0.021737437695264816,
0.0032058327924460173,
0.005076002329587936,
... |
<p>I have implemented the LDA algorithm. However when I had to get the inverse of a matrix Matlab threw an error and I had to use pinv (pseudo inverse) instead of inverse. Did I do something wrong or is it usual sometimes to have to use pinv instead of inv?</p>
<p><strong>PS:</strong> My matrix is a square matrix as u... | g68755 | [
0.004092972259968519,
-0.05846862122416496,
0.04138932749629021,
-0.05138804763555527,
-0.01522779930382967,
-0.022133301943540573,
-0.028728347271680832,
0.034976109862327576,
-0.01672021485865116,
0.015477296896278858,
-0.035254865884780884,
0.03172419220209122,
0.008674060925841331,
0.0... |
<p>$$f(x)=\alpha\beta x^{\beta-1}e^{-\alpha x^{\beta}}$$</p>
<p><img src="http://i.stack.imgur.com/6UECS.jpg" alt="enter image description here"></p>
<p>1) How do we know that n must be multiplied by both alpha and beta only after we take the log, why don't we simply multiply by n in the original function and then ta... | g68756 | [
0.029956810176372528,
0.014609928242862225,
-0.013973407447338104,
0.019949598237872124,
0.06234923005104065,
-0.030981605872511864,
0.07259250432252884,
0.059387385845184326,
-0.05457156151533127,
-0.07990707457065582,
-0.11126784980297089,
0.033996812999248505,
0.07056869566440582,
0.035... |
<p>I have a data set of RNA reaction values of breast cancer. I want to figure out which RNAs are essential genes by Logistic Regression & LASSO. </p>
<p>The data set has no negative samples. What should I do to ensure the method will give a reliable result?</p> | g68757 | [
0.0269149299710989,
-0.05506892874836922,
0.01620658114552498,
-0.06897136569023132,
0.04199274256825447,
-0.041299380362033844,
-0.03672091290354729,
-0.007358043920248747,
-0.022448038682341576,
-0.01250444445759058,
-0.008694438263773918,
0.06896656006574631,
0.08544618636369705,
0.0122... |
<p>Participants are asked to recall either a happy or sad event in their life.
Once a mood of happiness of sadness has been elicited all participants are then presented with 3 stories where the central character was either involved in a happy, sad or neutral event. </p>
<p>The results are as follows:</p>
<p>Happy St... | g20 | [
-0.004886546637862921,
0.003915686625987291,
-0.04309811815619469,
-0.10149314254522324,
-0.008974683471024036,
0.01196208130568266,
-0.0006813461659476161,
0.03539206460118294,
-0.030232936143875122,
-0.07570590078830719,
-0.012641164474189281,
-0.00008796092151897028,
0.053751830011606216,... |
<p>I have gathered data from 130 questionnaires and I have 30 variables.</p>
<p>Cronbach's alpha is badly negative. I have checked everything I could think of, but the result did not change.</p>
<p>SPSS file is attached</p>
<p><a href="http://www.wikiupload.com/9M9YHEV6I4Q1HPR" rel="nofollow">http://www.wikiupload.... | g28905 | [
0.02433881163597107,
-0.06242836266756058,
-0.014652630314230919,
-0.07313667237758636,
0.018799204379320145,
0.02473689243197441,
-0.01446725893765688,
0.04231329262256622,
0.0113366162404418,
-0.05388069152832031,
-0.01431674137711525,
0.04326561838388443,
0.01784425601363182,
0.05260133... |
<p>I've got a dataset similar to this:</p>
<pre><code>pat_id epis Care Type
1 1722650 Acute Care
1 1723120 Rehabilitation care
2 1584309 Acute Care
2 1585705 Rehabilitation care
3 1726487 GEM
3 1664031 Acute Care
3 1726488 Acute Care
3 1726489 Rehabilitation care
</cod... | g68758 | [
-0.009024394676089287,
0.004023317713290453,
-0.007013391237705946,
-0.0737825483083725,
-0.055671896785497665,
-0.010655304417014122,
-0.010877990163862705,
-0.04905069246888161,
-0.009856351651251316,
0.005035586655139923,
0.03483707457780838,
-0.017263859510421753,
0.03649264946579933,
... |
<p>This is a terminology question motivated by a review that I got on a paper. In the following I believe that $y$ would be considered to be distributed according to a <em>mixture distribution</em>:</p>
<p>$$y \sim \left\{
\begin{array}{ll}
f_1(\theta_1) & \mbox{with } p ~ \mbox{probability} \\
f_2(\theta_2)... | g68759 | [
0.03195918723940849,
-0.029262421652674675,
-0.0031897490844130516,
0.012758229859173298,
0.01148594357073307,
0.012577475048601627,
-0.04016551747918129,
0.007657013367861509,
0.043505772948265076,
-0.04767777398228645,
0.011982803232967854,
-0.020494213327765465,
0.04395794868469238,
0.0... |
<p>How to interpret residuals in random and fixed effects models? I am a medical doctor. Kindly explain in simple words.
<strong>Updated</strong> Here is an example:</p>
<pre><code>Weight (Fixed) Weight (Random) Residual (Fixed) Residual (Random)
Relative weight Relative weight Std Residual ... | g68760 | [
0.013326266780495644,
-0.07918880879878998,
-0.014720276929438114,
-0.025634948164224625,
-0.06757311522960663,
0.0540681816637516,
0.003791910596191883,
0.043306171894073486,
-0.04523784667253494,
-0.015885910019278526,
-0.035019416362047195,
0.04347408935427666,
0.041634220629930496,
-0.... |
<p>[I first posted this question to Stack Overflow <a href="http://stackoverflow.com/questions/5866850/using-holt-winters-for-forecasting-in-python">here</a> but didn't get any replies, so I thought I'd try over here. Apologies if reposting isn't allowed.]</p>
<p>I've been trying to use <a href="http://adorio-research... | g68761 | [
-0.012160968966782093,
-0.03865711763501167,
0.006198990158736706,
-0.03207295015454292,
-0.006265808362513781,
-0.021851500496268272,
0.032228734344244,
0.0000870124131324701,
-0.02225126512348652,
0.02542182058095932,
0.026411913335323334,
0.02926621586084366,
0.04609886184334755,
0.0006... |
<p>I am currently working towards a Statistics BSc and am frequently having to organise my research.
I am currently using a mixture of a mediawiki, and a bibliography browser plugin, to make an archive of my online data sources, and references to pdfs with useful information. but its becoming a bit of a mess.</p>
<p>I... | g68762 | [
0.014686662703752518,
0.01792031340301037,
-0.00310312956571579,
-0.07667039334774017,
-0.019485441967844963,
-0.05928868427872658,
-0.01931086741387844,
0.044574569910764694,
-0.028611429035663605,
-0.011622105725109577,
0.05164206400513649,
-0.0789344385266304,
0.09725537896156311,
-0.02... |
<p>I have two datasets from genome-wide association studies. The only
information available is the odds ratio and the p-value for the first
data set. For the second data set I have the Odds Ratio, p-value and allele frequencies (AFD= disease, AFC= controls) (e.g: 0.321). I'm trying to do a meta-analysis of these data... | g38898 | [
0.011968536302447319,
-0.01329835131764412,
-0.010011933743953705,
-0.012425554916262627,
-0.02620069496333599,
-0.007576047908514738,
-0.0044975318014621735,
0.04993648827075958,
0.0022106978576630354,
-0.030003929510712624,
0.01622682251036167,
0.003909142222255468,
0.07074563205242157,
... |
<p>I have two vectors of matching lengths. They are readings from two different sensors (one is from a smartphone and the other is from a wiimote) of the same hand movement. I am trying to find the time offset between them to synchronise the readings for further processing. The readings I get are of the format (Time(ms... | g28913 | [
0.08967277407646179,
-0.022873863577842712,
-0.029084015637636185,
-0.012653619050979614,
0.0419277660548687,
-0.007707751821726561,
0.06225274130702019,
-0.051368843764066696,
-0.026955964043736458,
0.014668825082480907,
-0.025726644322276115,
0.007741319946944714,
0.003130670404061675,
-... |
<p>I am fitting a simple linear regression model with R & JAGS:</p>
<pre><code>model {
for (i in 1:length(ri)){
ri[i] ~ dnorm(mu[i],tau)
mu[i] <- alpha + b.vr*vr[i] + b.ir*ir[i]
}
#posterior predictive distribution
for (j in 1:length(pvr)){
pmu[j] <- alpha + b.vr*pvr[... | g28914 | [
0.009906677529215813,
-0.04878691956400871,
-0.016418734565377235,
-0.06295768171548843,
-0.009710351936519146,
-0.008412736468017101,
0.008501783013343811,
0.006089775823056698,
-0.04651963710784912,
-0.04032023251056671,
-0.012920230627059937,
-0.015511398203670979,
-0.01576768234372139,
... |
<p>I have heard about uses of Algebraic Geometry in statistics and Machine Learning. I wanted to try to learn a bit about this topics. I don't know nearly anything about algebraic geometry, but I have background in math, and I know about basic group theory, rings fields and some commutative algebra. My questions are:</... | g5495 | [
0.020947402343153954,
0.028953365981578827,
0.017094476148486137,
-0.007111657410860062,
-0.0009697066270746291,
0.0041740271262824535,
0.05568365007638931,
0.012611659243702888,
-0.038242582231760025,
0.03818183392286301,
0.01610536128282547,
0.048042528331279755,
0.12489935755729675,
-0.... |
<p>I've 2 problems when applying $\nu$-SVR with LibSVM in Matlab.</p>
<ol>
<li><p>How to extract support vector from training model in $\nu$-SVR?</p></li>
<li><p>When I visualize <code>slab tube</code> for a training and/or a testing data. I take $\varepsilon$ value in model and plot $f(x) - \varepsilon$ and $f(x) + \... | g68763 | [
-0.00045768552809022367,
0.012961137108504772,
0.015711786225438118,
0.03660948574542999,
0.011882597580552101,
-0.035528916865587234,
-0.028726253658533096,
0.05775617063045502,
-0.03580717369914055,
0.0001817320444388315,
-0.03808213397860527,
0.01623833179473877,
0.062023479491472244,
0... |
<p>I am currently being confused by different opinions regarding the spearman correlation interpretation. Some says, $\rho<0.2$ can be ignored as small/weak relationship, some says $\rho<0.1$, for sample size. I am explaining it here with examples.</p>
<p>Suppose, I have 29 samples with $x$ and $y$ features, $\r... | g43200 | [
0.06303784251213074,
-0.0367790088057518,
-0.010151263326406479,
-0.06343591958284378,
-0.02987774834036827,
0.005881993565708399,
0.07587551325559616,
0.027739867568016052,
-0.006708200089633465,
-0.02355804108083248,
0.01195415947586298,
0.040537383407354355,
-0.019013360142707825,
-0.00... |
<p>I have a time series and I want to subset it while keeping it as a time series, preserving the start, end, and frequency.</p>
<p>For example, let's say I have a time series:</p>
<pre><code>> qs <- ts(101:110, start=c(2009, 2), frequency=4)
> qs
Qtr1 Qtr2 Qtr3 Qtr4
2009 101 102 103
2010 104 ... | g68764 | [
-0.0037121237255632877,
-0.01248856633901596,
-0.012943456880748272,
-0.07598085701465607,
-0.01996912807226181,
-0.040344562381505966,
0.0010553784668445587,
-0.02511313371360302,
-0.05868767946958542,
0.020679065957665443,
0.008242198266088963,
0.058551639318466187,
0.07051673531532288,
... |
<p>Is there a visualization model that is good for showing the intersection overlap of many sets?</p>
<p>I am thinking something like Venn diagrams but that somehow might lend itself better to a larger number of sets such as 10 or more. Wikipedia does show some higher set Venn diagrams but even the 4 set diagrams are ... | g28921 | [
-0.0062412722036242485,
0.09001974761486053,
0.015818234533071518,
-0.05819772928953171,
-0.048205602914094925,
-0.041147276759147644,
0.012356455437839031,
0.008867096155881882,
0.021949371322989464,
-0.013177625834941864,
0.049795858561992645,
-0.05124325305223465,
0.08877377212047577,
0... |
<p>We are analysing the effects of different harvesting intensities on soil nutrients. Data was collected over three different years. The first year was before treatments were applied, and the second and third years were 1 year and 6 years post treatment. There are 4 stand types (each replicated 3 times), 6 treatments... | g38906 | [
0.07505393028259277,
-0.039298269897699356,
0.0014114008517935872,
-0.008400934748351574,
-0.006949404254555702,
-0.0006288372096605599,
0.041785962879657745,
0.0047492943704128265,
-0.003802153281867504,
0.004895081277936697,
0.04213859140872955,
0.02745821513235569,
-0.03529109060764313,
... |
<p>Let $p \in [0 , \frac{1}{2}] $ and $\eta_{i}$ be i.i.d random variables and $P(\eta_{i}=1)=p$ and $P(\eta_{i}=-1)=1-p$ and $\mathcal F_{n}=\sigma(\eta_{1},\cdots,\eta_{n})$ and $X_{n}=\sum_{i=1}^{n}\eta_{i}$ and $Y_{n}=X_{T(-7) \wedge n} $(means martingale/submartingale/supermartingale when stopped by a stopping... | g68765 | [
0.008825157769024372,
0.02253904938697815,
-0.03258202224969864,
-0.006720347795635462,
0.008570626378059387,
-0.024495627731084824,
0.053239382803440094,
-0.026173563674092293,
0.004457432311028242,
0.05778892710804939,
0.0021822205744683743,
0.04673456400632858,
0.04570545256137848,
0.02... |
<p>I'd like to see an extension of <a href="http://stats.stackexchange.com/questions/14226/given-the-power-of-computers-these-days-is-there-ever-a-reason-to-do-a-chi-squa">this discussion</a> of the age-old chi-sq vs. Fisher's exact test debate, broadening the scope a bit. There are many many tests for interactions in ... | g5598 | [
0.04489561915397644,
-0.03533674031496048,
-0.013147571124136448,
-0.02795870043337345,
0.05556922033429146,
-0.058752067387104034,
0.03895431384444237,
0.034309204667806625,
-0.05012788251042366,
-0.006520889699459076,
0.006353280041366816,
0.020204052329063416,
-0.008259957656264305,
0.0... |
<p>How is the Latin square design(LSD) an incomplete three-way layout? In this context, let me ask also what is a complete layout?</p> | g68766 | [
0.004588285461068153,
0.007693418301641941,
-0.013492323458194733,
-0.0638585239648819,
0.017165308818221092,
0.01137001533061266,
-0.024861665442585945,
0.007096452172845602,
-0.010355228558182716,
-0.025117937475442886,
0.02669316716492176,
-0.04433359205722809,
0.05401017144322395,
-0.0... |
<p>Here is a minimum viable example that resembles my problem:</p>
<ul>
<li>Subjects are human individuals</li>
<li>Subjects are characterized by a set of categorical and continuous variables</li>
<li>Subjects engage in a varying number of consecutive events</li>
<li>I assume that the number and kind of events they en... | g68767 | [
-0.097049780189991,
0.002271382138133049,
0.008007869124412537,
-0.013075542636215687,
-0.03852783888578415,
-0.017848437651991844,
-0.0061128828674554825,
-0.015593087300658226,
-0.05942174792289734,
-0.015050317160785198,
-0.008665049448609352,
0.026237303391098976,
0.020387478172779083,
... |
<p>I stumbled on to these following two slides (slides 21 & 22 on a machine learning tutorial found <a href="http://alex.smola.org/teaching/pune2007/pune_5.pdf" rel="nofollow">here</a>):</p>
<p><img src="http://i.stack.imgur.com/0KPox.png" alt="Scatterplot..">
<img src="http://i.stack.imgur.com/8uoMa.png" alt="ent... | g68768 | [
0.013888041488826275,
-0.04628303274512291,
-0.04736453294754028,
-0.022286307066679,
0.040066950023174286,
0.012286821380257607,
-0.004162399098277092,
0.02222372591495514,
-0.02645309828221798,
-0.017037197947502136,
0.026516012847423553,
0.055496715009212494,
0.1161198541522026,
-0.0231... |
<p>If $F(X)$ and $G(Y)$ denote two distribution functions, then is $Max${$F(X),G(Y)$} necessarily a distribution function as well?</p> | g68769 | [
0.02335352450609207,
-0.026089074090123177,
0.000010067579751193989,
0.002557170344516635,
0.02244695834815502,
-0.046292830258607864,
-0.077721506357193,
-0.020404253154993057,
-0.0048021855764091015,
-0.02493009902536869,
-0.03457185998558998,
-0.0037028577644377947,
0.07562656700611115,
... |
<p>I moedelled following ARIMA Process which I also smoothed.</p>
<blockquote>
<p>abc1 <- (arima.sim(n = 1400, list(ar = c(0.3, 0.2, 0.15, 0.1, 0.1, 0.1)), sd = sqrt(0.5)))<br>
plot(abc1)<br>
abc2 <- SMA(abc1, n=360)<br>
plot(abc2)</p>
</blockquote>
<p>My aim is it to add a component for mean-reversion ... | g28932 | [
-0.01755007728934288,
0.009417077526450157,
-0.013533557765185833,
-0.04672711342573166,
-0.017993144690990448,
-0.01979355700314045,
0.05618886277079582,
-0.00632521091029048,
0.005493107717484236,
-0.012836565263569355,
0.020811524242162704,
0.14714406430721283,
0.11518920958042145,
-0.0... |
<p>I'm trying to use the <code>randomSurvivalForest</code> package in <code>R</code> to predict the next event in a series of events (using <code>res <- predict(fit,v)</code>), but all I get is a total % survivors and then the cumulative hazard for each individual in the <code>res$ensemble</code>. Can I use this to ... | g68770 | [
-0.012218169867992401,
-0.05852002650499344,
0.0014117715181782842,
-0.01311085931956768,
-0.010105730034410954,
-0.008036776445806026,
-0.024771172553300858,
0.025125931948423386,
-0.018801374360919,
-0.04360610246658325,
0.012347771786153316,
-0.00532829575240612,
0.018661223351955414,
-... |
<p>I'm using a maximum a posteriori probability (MAP) estimator in a classification problem. After estimating all the a posteriori probability, the standard way is to simply take the class associated with the maximum probability. I would like to measure the confidence of this decision. I.e. if the maximum a posteriori ... | g38918 | [
-0.004748710431158543,
-0.021669112145900726,
0.033914972096681595,
-0.02236112765967846,
-0.03767388314008713,
-0.01234783511608839,
-0.013250532560050488,
0.051275357604026794,
-0.04046071693301201,
0.025144778192043304,
0.015685060992836952,
-0.023456353694200516,
0.07066482305526733,
0... |
<p>Suppose I have a regression model which yields a couple of predicted values with their respective prediction intervals and the random quantity that I am interested in is the sum of (some subset) of those predicted values. How do I go about building a new prediction interval for this sum? Is it as easy as summing up ... | g37810 | [
-0.03317652642726898,
-0.013720949180424213,
-0.016592955216765404,
-0.022706136107444763,
-0.06999633461236954,
-0.02995002456009388,
-0.0035075489431619644,
0.039925429970026016,
-0.022991115227341652,
-0.06130390241742134,
-0.007722843438386917,
0.016496405005455017,
0.08535245060920715,
... |
<p>I have $P$ correlation matrices $(n \times n)$ computed with $P$ sets of $(m \times n)$ data (observed) using the MATLAB function <code>corrcoef</code>.</p>
<ul>
<li>How do I compare and analyze these $P$ correlation matrices with respect to each other? </li>
<li>What are the tests, methods and/or checkpoints?</li... | g42413 | [
0.013955392874777317,
-0.059463534504175186,
-0.013622146099805832,
-0.04599316790699959,
0.07311641424894333,
-0.00634045759215951,
0.04182542487978935,
-0.04307578131556511,
-0.035806868225336075,
-0.02256564050912857,
0.0050852070562541485,
0.010501847602427006,
0.024613887071609497,
0.... |
<p>There are a lot of references in the statistic literature to "<strong>functional data</strong>" (i.e. data that are curves), and in parallel, to "<strong>high dimensional data</strong>" (i.e. when data are high dimensional vectors). My question is about the difference between the two type of data. </p>
<p>When talk... | g68771 | [
0.09900093823671341,
-0.030676595866680145,
0.006242851726710796,
-0.048192285001277924,
-0.011444768868386745,
-0.026564765721559525,
0.04450850188732147,
0.03405231982469559,
-0.03323446214199066,
-0.019286805763840675,
-0.02105998434126377,
0.04174313321709633,
0.06849148869514465,
-0.0... |
<p>What considerations should be made regarding sample size for using LASSO or elasticnet? We are going to gather expression data from 1700 genes and our response variable is multinomial (3 categories).</p> | g5601 | [
0.008369908668100834,
0.0043532969430089,
-0.015985701233148575,
-0.038064729422330856,
0.01569029502570629,
-0.04986663907766342,
-0.01453478541225195,
0.03421204164624214,
-0.017670830711722374,
0.03503673896193504,
-0.03183769807219505,
0.02483258955180645,
0.0548802874982357,
0.0118372... |
<p>I am running the Johansen cointegration test using 2 non-stationary time-series, as suggested by the literature.</p>
<p>The output I got is the following:</p>
<pre><code> r0 r1
t1 0 1
</code></pre>
<p>Particularly, i'm using the Matlab function <a href="http://www.mathworks.it/it/help/econ/jc... | g29963 | [
0.038117602467536926,
0.018957864493131638,
-0.00981600396335125,
-0.029109690338373184,
0.028209054842591286,
-0.04697997123003006,
0.043688733130693436,
-0.009257933124899864,
-0.06314776092767715,
0.04099005088210106,
-0.07889038324356079,
0.03512189909815788,
0.01271222997456789,
0.011... |
<p>I have a process which, after fixing the values of some parameters, generates samples from a Bernoulli distribution with unknown $p$.</p>
<p>The value of $p$ is typically small, and what I want to do is to discover suitable values for my parameters so that $p$ is at least $0.1$. An added problem is that generating ... | g68772 | [
0.03398284316062927,
0.00008060171967372298,
0.0076269241981208324,
-0.0042508505284786224,
-0.016018860042095184,
-0.0561368390917778,
0.016755366697907448,
0.002456327900290489,
-0.07412032783031464,
-0.03791071102023125,
-0.06580888479948044,
0.03866555541753769,
0.030595386400818825,
0... |
<p>I'm stuck on deciding what would be the best approach for my current problem:</p>
<p>I have an array of approximately 1500 data points and I'm trying to find a best fit line through these points based on an complex expression with two free parameters. I found those parameters with Matlab's <em>lsqcurvefit</em> func... | g28950 | [
0.06853122264146805,
-0.061336103826761246,
0.0010738621931523085,
-0.04104938358068466,
-0.015849359333515167,
-0.02294480986893177,
0.05328238382935524,
0.03127260133624077,
-0.052524078637361526,
-0.009353367611765862,
0.004718989133834839,
-0.0019751288928091526,
0.08086943626403809,
-... |
<p>I recorded 4 groups of captive birds (each group a difference species) at the same 3 times each day for 15 days. I want to determine if there is a difference in their vocalization properties such as call rate (the number of chirps per second for each call), call length, etc. during these 3 specific times of day. I r... | g28951 | [
-0.03072674386203289,
-0.05331077054142952,
-0.010963975451886654,
-0.037669867277145386,
-0.008622427470982075,
-0.037532955408096313,
0.033333372324705124,
-0.01152686309069395,
-0.030223531648516655,
0.021798139438033104,
-0.015944859012961388,
0.01605362817645073,
-0.01936931721866131,
... |
<p>I got a couple comments on my question. First of all, thank you very much. I was asked to be more clear. So, here's an attempt at that.</p>
<p>I'm capturing raw data of play performance for each player and each game in the whole league. Then I can compute things like Goals Against averages and Shooting Percent ... | g28954 | [
0.06023881956934929,
-0.009378212504088879,
-0.008508496917784214,
-0.041702691465616226,
-0.01509026624262333,
-0.04734965041279793,
0.009145627729594707,
-0.012948366813361645,
-0.04588233679533005,
0.004279173910617828,
0.0025353371165692806,
0.023899082094430923,
0.07749445736408234,
0... |
<p>Okay, I think this might be a stupid question but I just can't quite seem to get there. I understand what reliability and validity is, but I don't understand just what I should do with it when looking at the results.</p>
<p>Imagine a super-simple test examining how much people spend on groceries every week.</p>
<p... | g68773 | [
0.012604428455233574,
0.05118623748421669,
-0.004894368350505829,
-0.008486081846058369,
-0.011854889802634716,
0.023107606917619705,
-0.014435735531151295,
0.01700720004737377,
0.008315514773130417,
-0.07716470956802368,
0.01872408390045166,
0.016184376552700996,
0.04145711660385132,
-0.0... |
<p>If a Gamma distribution is parameterized with $\alpha$ and $\beta$, then:</p>
<p>$$
E(\Gamma(\alpha, \beta)) = \frac{\alpha}{\beta}
$$</p>
<p>I would like to calculate the expectation of a squared Gamma, that is:</p>
<p>$$
E(\Gamma(\alpha, \beta)^2) = ?
$$</p>
<p>I <em>think</em> it is:</p>
<p>$$
E(\Gamma(\alph... | g29964 | [
0.008189478889107704,
-0.029344355687499046,
-0.0233597531914711,
-0.05437750369310379,
0.058355480432510376,
0.0008168279309757054,
0.02594030648469925,
0.01043766736984253,
-0.07457411289215088,
0.00667395768687129,
0.000518543238285929,
0.038700200617313385,
0.006173733156174421,
0.0225... |
<p>There is something that I am doing wrong in the exercise below and I would appreciate some help figuring it out.</p>
<p>Let $X_1, X_2, \ldots, X_5$ be a random sample from a $\Gamma \left(3,3 \right)$ distribution . Define $W=\sum_{i=1}^5 X_i $. </p>
<ol>
<li><p>Obtain the distribution of $W$ and of $2W/3$</p></li... | g68774 | [
0.008615391328930855,
-0.026461899280548096,
-0.029203172773122787,
-0.08247800171375275,
0.02032838575541973,
0.04196656495332718,
0.04625965282320976,
-0.02859981544315815,
-0.0456329807639122,
0.020139556378126144,
-0.031700920313596725,
0.058093588799238205,
-0.0391538143157959,
-0.013... |
<p>I have a need to analyze an experiment that had a binomial outcome and categorical predictors. For context we sent out an email to our customers and encouraged them to register their account online (did register or did not register online). There are different nine groups that received the email. The groups are segm... | g28955 | [
-0.018191780894994736,
-0.00912300031632185,
-0.00421876460313797,
-0.002681421348825097,
-0.02520058862864971,
-0.056969352066516876,
0.050651904195547104,
0.05173886567354202,
-0.04073470085859299,
0.0006423881277441978,
0.004783833399415016,
0.019575539976358414,
0.04170723631978035,
0.... |
<p>Can we use duplicate data as an input to SVM? The duplicate data that I mean is, let say we have 50 of same data (maybe being duplicate) from total of 100 data. Will this kind of data effect the performance result that we obtained from SVM? Do we have to avoid any duplicate data for SVM?</p> | g68775 | [
0.026612263172864914,
0.04841160401701927,
0.03672665357589722,
-0.008508652448654175,
-0.04860738664865494,
-0.010082302615046501,
0.0021006634924560785,
0.025188425555825233,
-0.009219739586114883,
0.015242249704897404,
-0.003936699125915766,
0.002560975728556514,
0.025376278907060623,
0... |
<p>Suppose $\hat{m} = \frac{1}{N}\sum_{i=1}^{N}(X_i)$ where $X_i \sim N(m,\sigma)$.</p>
<p>Are the following steps correct?</p>
<p>$Var\left\{(\hat{m}-m)^2\right\} = E\left\{(\hat{m}-m)^4\right\} - E^2\left\{(\hat{m}-m)^2\right\}$</p>
<p>$= 3E^2\left\{(\hat{m}-m)^2\right\} - E^2\left\{(\hat{m}-m)^2\right\}$</p>
<p>... | g38936 | [
-0.02529059909284115,
-0.042010966688394547,
-0.03160950914025307,
-0.024415716528892517,
0.011878426186740398,
0.0076299202628433704,
0.08513092994689941,
-0.03451943397521973,
-0.03001810796558857,
0.016375083476305008,
-0.033294640481472015,
0.09486020356416702,
0.024972951039671898,
0.... |
<p>I have weights of SNP variation (output through Eigenstrat program) for each SNP for the three main PCs. I wish to reduce my list of SNPs to those that show maximum differentiation between the three PCs. Can anyone help me with which statistical method to use to do this. </p>
<p>say, if each PC describes the magnit... | g68776 | [
0.026058176532387733,
-0.011386038735508919,
0.006796678993850946,
-0.043247152119874954,
0.017108146101236343,
-0.017729753628373146,
0.0035047505516558886,
0.05284133180975914,
-0.05038488283753395,
0.011798796243965626,
-0.026784155517816544,
0.018838979303836823,
0.04027950391173363,
0... |
<p>I have collected positional data. To visualize the data, I'd like to draw a 'typical' outcome of an experiment. </p>
<p>The data comes from a few hundred experiments, where I identify a variable number of objects at different positions relative to the origin in 2D. Thus, I can calculate the average number of object... | g68777 | [
-0.0073714833706617355,
0.02895905077457428,
-0.005438617896288633,
-0.045876726508140564,
-0.03861253336071968,
-0.03207298740744591,
0.03728742152452469,
-0.006791945081204176,
-0.013485532253980637,
-0.03711443766951561,
0.041868843138217926,
-0.01702483929693699,
0.11428108811378479,
0... |
<p>I have an unbalanced panel on daily data for 8 months for 8 years on a pollutant. Thus, my T is very large and my N(number of cross-section) is 112. My model contains a lagged dependent variable as a regressor or what economists refer to as dynamic panel data model. In addition, I have year and time fixed effects an... | g5608 | [
0.03389381244778633,
-0.050293199717998505,
0.0015051732771098614,
-0.07871539890766144,
0.019455915316939354,
0.038900356739759445,
0.018299812451004982,
-0.016524523496627808,
-0.014576745219528675,
-0.03805606812238693,
0.03526943176984787,
0.02301562950015068,
0.037819698452949524,
-0.... |
<p>I wish to cluster users together in a database, with each user represented by a number of features that are both discrete and continuous in nature. The aim is to define a small number of archetypal "users" with specific set of features. All other users are then categorized as being similar to one or other of these... | g28958 | [
0.0030873266514390707,
0.01733260042965412,
0.000227013006224297,
-0.05947470664978027,
-0.00812357198446989,
-0.06909791380167007,
0.015702588483691216,
-0.02423250488936901,
-0.007924196310341358,
-0.03432464972138405,
0.035144127905368805,
-0.012700025923550129,
0.10173939168453217,
0.0... |
<p>I’m trying to model the correlation/covariance between a pair of variables measured concurrently and repeatedly on a group of subjects. Since both variables are measured responses I want to avoid declaring one to be a response variable and the other a ‘fixed’ covariate. Here’s a synopsis of the data frame:</p>
<... | g68778 | [
-0.007772569078952074,
-0.08302268385887146,
0.004828589037060738,
-0.08946136385202408,
-0.02507873624563217,
0.016209736466407776,
0.040569860488176346,
0.014691130258142948,
-0.02999800629913807,
0.020494846627116203,
0.03936498239636421,
-0.016361461952328682,
-0.03341704607009888,
0.0... |
<p>In my experiment, each subject is assigned to one of four conditions (2 IVs, 2 levels each). The DVs are measured pre and post intervention. </p>
<p>Is this a 2x2 with repeated measures, or is it a 2x2x2, or something else?
Perhaps it is a split plot design?</p> | g68779 | [
-0.051933590322732925,
-0.00689352210611105,
-0.030993584543466568,
-0.05699700489640236,
-0.043716322630643845,
-0.02136421948671341,
0.03156589716672897,
-0.02351331152021885,
0.010920935310423374,
-0.05417772755026817,
-0.06026848033070564,
0.00423878338187933,
-0.02864924818277359,
-0.... |
<p>What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & CA2....or I can choose to not collapse the data and leave each dependent variable as a binary variable). My independent... | g38938 | [
0.03488699346780777,
-0.09882641583681107,
-0.0052970414981245995,
-0.049609486013650894,
-0.024022066965699196,
0.003336252411827445,
0.04059799388051033,
0.024495650082826614,
-0.017852431163191795,
-0.02068863995373249,
-0.006330771837383509,
-0.06010802835226059,
0.04099830612540245,
0... |
<p>I aim to train my classifier for an image recognition task. What kind of preprocessing steps I need to take to enhance my results? (I have >40000 images with >700 pixels so large amounts of data with a vast feature vector.)</p>
<p>Also can you please suggest any other efficient preprocessing method to advance perf... | g28959 | [
0.006355808582156897,
0.02482813224196434,
-0.005437999498099089,
-0.03464842215180397,
0.017293445765972137,
-0.040150124579668045,
0.07645867019891739,
0.07539530843496323,
0.015158668160438538,
-0.0237068273127079,
-0.00496973330155015,
0.030694905668497086,
0.09183350950479507,
0.01559... |
<p>I'm facing a problem and am wondering if the biostats community may already have a method for it that I just haven't heard about in my field.</p>
<p>I am doing some work with a test vs. control group and a certain treatment. Measuring the treatment effect by itself (between the two groups, overall) I am fine with. ... | g28960 | [
-0.0020089810714125633,
0.00014402465603780001,
-0.016183344647288322,
-0.035277143120765686,
-0.021274039521813393,
-0.05084555596113205,
0.022291386500000954,
0.030992941930890083,
-0.02114337682723999,
0.00364088686183095,
0.021702267229557037,
0.053569670766592026,
0.05813702940940857,
... |
<p>Very often, we use data which are derived from some measurements. These measurements usually have a confidence measure associated which tells how reliable or confident we are about the measure. For example, we often see some confidence intervals associated with various polls.</p>
<p>I was wondering if there is a th... | g49436 | [
-0.018661506474018097,
0.017729591578245163,
-0.026366986334323883,
0.018027929589152336,
-0.00851671677082777,
0.027825087308883667,
-0.006780055817216635,
0.034896302968263626,
-0.008585474453866482,
0.01181021798402071,
-0.04903131723403931,
0.027073459699749947,
0.03881913796067238,
-0... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/33547/how-does-the-standard-error-work">How does the standard error work?</a> </p>
</blockquote>
<p>What is the estimate of sample mean variance and how do you get it? Are my understandings of the followin... | g49399 | [
-0.0358579084277153,
0.00948021188378334,
-0.013937092386186123,
0.011935394257307053,
0.017595551908016205,
-0.023999620229005814,
0.04259523004293442,
0.01122661866247654,
-0.02688615396618843,
0.0038281918969005346,
-0.04306197911500931,
0.06812991946935654,
0.009250784292817116,
-0.018... |
<p>Are you aware of any research papers that explain a relationship between the following concepts?</p>
<ul>
<li>threshold (removal of features, whose frequencies are greater than or less than a defined threshold)</li>
<li>number of features</li>
<li>error</li>
</ul> | g5610 | [
0.01188731286674738,
0.006947102025151253,
-0.005482090171426535,
-0.0314176008105278,
0.035154182463884354,
-0.03291821852326393,
0.04139136150479317,
0.06533090770244598,
-0.020673898980021477,
0.018696937710046768,
-0.05093558132648468,
-0.0015552822733297944,
0.06434059143066406,
0.038... |
<p>I am conducting a between groups analysis for 3 groups (<em>N</em>=26, one control group and two experimental groups) with 4 dependent variables. I initially planned to conduct a MANOVA, however I am not meeting normality (significant skewness and kurtosis using <em>z</em> > 2.58) and homogeneity of variance assumpt... | g22976 | [
-0.08763783425092697,
-0.05083337798714638,
-0.004756809212267399,
-0.02333458699285984,
-0.007717798464000225,
0.00820059422403574,
-0.01321454904973507,
-0.005107758101075888,
-0.035065025091171265,
-0.01571536995470524,
0.02434440888464451,
0.0119597427546978,
-0.01822938770055771,
0.08... |
<h3>Context</h3>
<p>I have a multivariate dataset with a test group and three control groups.
I was thinking that the best way to determine if and how the test group differed from all of the control groups would be to perform a MANOVA, then perform contrast analysis between the test group and all of the control groups... | g284 | [
-0.016537092626094818,
-0.04913175106048584,
0.007153815124183893,
-0.030250942334532738,
0.01284469198435545,
-0.019041448831558228,
-0.012721167877316475,
0.0417780801653862,
-0.03905260190367699,
-0.003025687299668789,
0.010184738785028458,
0.012713287957012653,
0.01140417531132698,
0.0... |
<p>I am doing a meta analysis for the first time and have a few basic questions regarding statistical analysis.
Let's say I have one study where the primary outcome (thrombosis) in the 2 treatment groups (intervention v. placebo) was compared using the Mantel-Haenszel chi-square test. It does not report df in the art... | g68780 | [
-0.012970763258635998,
0.01659025251865387,
0.003861101809889078,
-0.0019201553659513593,
0.023028241470456123,
0.02190908044576645,
0.021581873297691345,
0.025478746742010117,
-0.0373900905251503,
-0.009671155363321304,
-0.017769191414117813,
-0.022349996492266655,
0.06498575210571289,
0.... |
<p>I was playing around with writing a code for Montecarlo integration of a function defined in spherical coordinates. As a first simple rapid test I decided to write a test code to obtain the solid angle under an angle $\theta_m$. For two random number $u$ and $v$ in $[0,1)$. I generate a homogeneous random sampling ... | g68781 | [
0.052118316292762756,
-0.0376552939414978,
0.004632325377315283,
-0.019629545509815216,
0.025241225957870483,
0.006211675237864256,
0.0915815681219101,
0.01737811043858528,
-0.015377577394247055,
0.016998622566461563,
-0.0025440012104809284,
0.020730802789330482,
0.046376071870326996,
-0.0... |
<p>I am wondering if there is a sample size formula like Lehr's formula that applies to an F-test? Lehr's formula for t-tests is $n = 16 / \Delta^2$, where $\Delta$ is the effect size (<em>e.g.</em> $\Delta = (\mu_1 - \mu_2) / \sigma$). This can be generalized to $n = c / \Delta^2$ where $c$ is a constant that depends ... | g38952 | [
0.031760796904563904,
0.015989230945706367,
-0.00392706785351038,
-0.06873814016580582,
0.006218277383595705,
-0.042787645012140274,
0.007237236946821213,
0.006415501702576876,
-0.05952826514840126,
0.008154287002980709,
0.013431001454591751,
-0.00013745964679401368,
-0.008539796806871891,
... |
<p>I'm using the AMORE NN package to build multiple models from the same training set and i want to compare the weights between the models. </p>
<p>I'm pretty much an R newbie, but some of the stronger R users I know can't answer either. </p>
<p>here's the code: </p>
<pre><code>library("AMORE")
net <- newff(n.n... | g68782 | [
-0.017868896946310997,
-0.01909187249839306,
-0.016177643090486526,
-0.043568313121795654,
0.05575389787554741,
-0.02162392996251583,
0.040123455226421356,
-0.02818751148879528,
-0.06896282732486725,
0.011991916224360466,
-0.0534190759062767,
-0.005761095322668552,
0.06476875394582748,
0.0... |
<p>Given an hierarchical clustering of data points, some of which are labeled, are there good ways to use the tree/dendrogram to make predictions for the unlabeled points?</p>
<p>One approach might be to find the "best" place to cut the tree so that clusters match labels.
I'd be especially interested in efficient ways... | g28968 | [
0.028877293691039085,
-0.014990920200943947,
0.01703818514943123,
-0.04876529052853584,
0.004093800205737352,
-0.05467596650123596,
-0.0057128239423036575,
0.027439290657639503,
-0.010442618280649185,
-0.00954985897988081,
0.042655155062675476,
0.02427462302148342,
0.09367460012435913,
0.0... |
<p>I am coding a Kalman filter in R and I am trying to estimate the parameters dV and dW using the methods as provided in <a href="http://cran.r-project.org/web/packages/dlm/vignettes/dlm.pdf" rel="nofollow">Vignette</a> section2. However I get Epsilon=0 (which is dV for Kalman filter) for my ts data. I am not sure how... | g28969 | [
-0.006726534105837345,
-0.02856476418673992,
-0.0077986642718315125,
-0.07518716156482697,
0.07679273188114166,
-0.021809961646795273,
0.06235761567950249,
0.0004425356746651232,
-0.05400198698043823,
-0.012935153208673,
-0.043553341180086136,
0.007879838347434998,
0.018107105046510696,
0.... |
<p>Using the simple linear regression model: $ {y_i}= {\beta_0} + {\beta_1}x_i + \epsilon_i$, where E[$\epsilon_i$]=0 and var[$\epsilon_i] = \sigma^2$...</p>
<p>If $ \hat{y_i}= \hat{\beta_0} + \hat{\beta_1}x_i$ and</p>
<p>$ \hat{y_i^*}= \hat{\beta_0} + \hat{\beta_1}x_i^*$ </p>
<p>(where $\hat{\beta_0}$ and $\hat{\be... | g68783 | [
0.0018307364080101252,
-0.06617230921983719,
-0.016348090022802353,
-0.008021732792258263,
0.0786871463060379,
-0.05262887105345726,
0.01848081313073635,
0.0006917253485880792,
-0.015908250585198402,
0.0011271140538156033,
-0.04302931949496269,
0.06519243866205215,
0.02759949490427971,
0.0... |
<p>Suppose you want to look at the risk of glaucoma in 7 groups (e.g. grouped by weight: 100-110 lbs, 111-120 lbs, etc..). Is risk measured by the proportion of people that have glaucoma? Or should you look at excess risk/relative risk? I guess it shouldn't matter what you look at because the risk pattern would be the ... | g68784 | [
0.009820851497352123,
0.0644584447145462,
0.005060323979705572,
-0.023770244792103767,
-0.03567890822887421,
-0.01622304506599903,
0.03660248965024948,
-0.0326884388923645,
0.014533163979649544,
0.00945218838751316,
0.06900454312562943,
-0.007092212326824665,
0.06391531229019165,
0.0268366... |
<p>How do you determine the degrees of freedom for Kuiper's Test of Uniformity for circular data?</p>
<p>I have been using various R packages for circular data (circular, CircStats) and I can't seem to find out how to get the degrees of freedom for the Kuiper's test. </p> | g68785 | [
0.04520044103264809,
-0.06465291231870651,
-0.005606726743280888,
-0.030901720747351646,
0.011399039067327976,
-0.0018026918405666947,
0.050694726407527924,
-0.03088470734655857,
0.02230091579258442,
0.02561146579682827,
-0.04275164380669594,
-0.010049888864159584,
0.019176676869392395,
-0... |
<p>Since PLS-DA is a computational technique which deals with outcomes expressed as a categorical variable (e.g. "Yellow","Brown","Black","Green") I cannot understand how it is possible to calculate Q2 and R2 values. In facts, these values are calculated based on the difference between the real outcome and the outcome ... | g28979 | [
-0.01718442514538765,
-0.0463755801320076,
-0.00842335820198059,
-0.020917024463415146,
-0.013713200576603413,
-0.027652205899357796,
0.05385472625494003,
0.0821596086025238,
-0.053547944873571396,
-0.033459436148405075,
-0.009235737845301628,
0.009556177072227001,
0.14290373027324677,
0.0... |
<p>I have a little confusion about validity of some predictions I am making using a CRF model I have trained. </p>
<p>The CRF model is trained on some input time-series, and when making predictions, I am passing the entire sequence to be labelled to the model. I have a concern that this is incorrect for the problem, s... | g28980 | [
0.013524570502340794,
-0.06785047054290771,
0.02677888609468937,
-0.035643935203552246,
-0.007820576429367065,
-0.007735980674624443,
0.09443444013595581,
0.07643784582614899,
-0.07709090411663055,
-0.04476429149508476,
0.0208541639149189,
-0.006398975849151611,
0.0575687438249588,
0.02194... |
<p>I want to explain that both the real and imaginary part of a complex variable follow a zero-mean complex Gaussian distribution. How can I write that?</p>
<p>For one variable I'd write
$a \sim \mathcal{N}(0,\sigma^2)$.</p>
<p>But for two? Maybe
$\{a,b\} \sim \mathcal{N}(0,\sigma^2)$?</p>
<p>What's the correct nota... | g68786 | [
0.007308183703571558,
-0.042039904743433,
-0.030186595395207405,
-0.08068761974573135,
0.02554694190621376,
-0.019211888313293457,
0.03996938094496727,
0.03478655219078064,
0.009316492825746536,
-0.025131473317742348,
-0.00318125425837934,
0.029586590826511383,
0.06409858912229538,
-0.0015... |
<p>It's pretty tough to search the Web for info on something when you don't know what words are commonly used to describe it. In this case, I'm wondering what it's called when you include another predictor in a time series.</p>
<p>As an example, say I'm modeling a variable $X$ using AR(3):</p>
<p>$ X_t = \varphi_1 X_... | g68787 | [
0.055010274052619934,
0.00892502162605524,
-0.0013746739132329822,
-0.05355450510978699,
0.03010815940797329,
-0.05568339303135872,
-0.0027764944825321436,
0.008943453431129456,
0.0016986835980787873,
0.02527054212987423,
-0.016581324860453606,
0.0686601847410202,
0.04594741016626358,
-0.0... |
<p>in jmp 11 on a mac I have data I want to plot nicely in a 2d-diagram. For the datapoints I made a regression to get a function for a smooth curve, now I want to plot the datapoints and the function in one graph.</p>
<p>However in the graphic-creating-window I can only select the appearance for all columns, i.e. eit... | g28984 | [
0.0318523570895195,
-0.007824509404599667,
-0.010354056023061275,
-0.06022867187857628,
0.011453891173005104,
-0.07138102501630783,
0.052473973482847214,
-0.023998532444238663,
-0.01764869876205921,
-0.046952854841947556,
0.02072734944522381,
0.08814193308353424,
0.08645189553499222,
0.030... |
<p>Is there a well founded rule for the number of significant figures to publish? </p>
<p>Here are some specific examples / questions:</p>
<ul>
<li><p>Is there any way to relate the number of significant figures to the coefficient of variation? For example, if the estimate is 12.3 and the CV is 50%, does that mean th... | g68788 | [
0.008924994617700577,
0.038123004138469696,
-0.028286892920732498,
-0.0315760113298893,
0.04246330261230469,
-0.015965523198246956,
0.02982238121330738,
0.021597040817141533,
-0.07414168864488602,
-0.020325342193245888,
0.003929040394723415,
0.010713097639381886,
0.07174058258533478,
0.017... |
<p>I am new to time series analysis, and would appreciate any suggestions on how best to approach the following time-series regression problem: I have hourly temperature measurements at approximately 20 locations across one site over three years, along with static ancillary information (slope, elevation, aspect, canopy... | g28987 | [
0.021161865442991257,
-0.07219670712947845,
-0.006391462869942188,
0.017330758273601532,
-0.06491044163703918,
-0.02209099382162094,
0.029409030452370644,
0.01298988051712513,
-0.03616517037153244,
0.028085041791200638,
0.000697895884513855,
-0.029253702610731125,
-0.005128165706992149,
0.... |
<p>Most repeated measures ANOVAs have time as the repeated measure; I was wondering about using a repeated measure that is not time.</p>
<p>Say we fed two groups of animals different diets. At the end of the experiment, we sample the tissues, and measure ~30 different compounds (e.g. different fatty acids [FA]). Anim... | g28988 | [
0.0007633172208443284,
0.011973682790994644,
0.015278523787856102,
-0.05205072835087776,
-0.03158465027809143,
-0.0734151229262352,
-0.03762846440076828,
-0.031080428510904312,
-0.022208817303180695,
0.018428713083267212,
0.0005864184931851923,
-0.008248332887887955,
-0.024750884622335434,
... |
<p>I am fitting a 1-dimensional polynomial to a set of data points $\{(x_1,y_1,z_1),...,(x_N,y_N,z_N)\} \subset \mathbb{R}^3$ using least squares regression. </p>
<p>My first instinct was to choose $x$ as an explanatory variable and perform regression on the sets $\{(x_1,y_1),...(x_N,y_N)\}$ and $\{(x_1,z_1),...,(x_N... | g68789 | [
0.054308000952005386,
-0.03575856238603592,
-0.012296617962419987,
-0.053837139159440994,
-0.00959358923137188,
-0.06694173067808151,
0.04233783483505249,
-0.028436580672860146,
-0.017145754769444466,
-0.022869639098644257,
0.049601681530475616,
0.05050360783934593,
0.01361197791993618,
0.... |
<p>The study: Comparing two groups (intervention vs control) across time using a behavioral measure as the outcome variable of interest. I will have baseline behavioral measurements as well as more than 2 time points throughout treatment. I'm interested in finding any significant improvements from baseline across tim... | g28989 | [
-0.04890725761651993,
-0.05319974943995476,
-0.009843176230788231,
0.001449801493436098,
-0.012855907902121544,
-0.04624702036380768,
0.008976561017334461,
-0.0012292407918721437,
0.024953482672572136,
0.012534400448203087,
0.02494819648563862,
0.046603914350271225,
-0.033250194042921066,
... |
<pre><code>library(lme4)
out <- glmer(cbind(incidence, size - incidence)
~ period
+ (1 | herd),
data = cbpp,
family = binomial,
contrasts = list(period = "contr.sum"))
summary(out)
Fixed effects:
Estimate Std. Error... | g68790 | [
-0.02312389574944973,
-0.049676865339279175,
-0.019883139058947563,
0.0068843248300254345,
-0.010288076475262642,
0.03189733251929283,
0.06411789357662201,
0.02394343726336956,
-0.027407653629779816,
-0.027978532016277313,
0.0044790166430175304,
0.006992016453295946,
0.0045251986011862755,
... |
<p>I am trying to find literature on the limiting distribution of a Polya-Eggenberger Urn with a stopping rule contingent on the proportion of the two colors in the urn. </p>
<p>To clarify, let's say that the urn has white and black balls and whoever is pulling balls out of the urn stops once the ratio of the balls in... | g68791 | [
0.04190817102789879,
0.08279798179864883,
0.009428662247955799,
-0.07946468144655228,
-0.003051541745662689,
-0.0024188312236219645,
0.04096337407827377,
0.01784111000597477,
-0.002948705805465579,
0.0012121556792408228,
-0.0012510541127994657,
-0.04602630436420441,
0.014758770354092121,
-... |
<p>I have 4 servers, n customers and m reports. At any time, a customer may request one of m reports. There are only 4 servers which are capable of generating reports. Each server can only process one report at a time. Over time I can record the average generation time for each customer which is independent of the serv... | g68792 | [
-0.009762339293956757,
0.022841403260827065,
-0.01925974152982235,
-0.04153449460864067,
-0.006932033225893974,
-0.061494216322898865,
-0.017328675836324692,
0.02000943385064602,
-0.0683714747428894,
0.008973362855613232,
-0.0061032758094370365,
-0.03396061062812805,
-0.006241383496671915,
... |
<p>I have a set of data points that are supposed to sit on a locus and follow a pattern, but there are some scatter points from the main locus that cause uncertainty in my final analysis. I would like to obtain a neat locus to apply it later for my analysis. The blue points are more and less the scatter points that I w... | g28991 | [
0.018558505922555923,
-0.04382298141717911,
0.013147362507879734,
-0.1371355950832367,
0.0001651080237934366,
-0.040432266891002655,
0.036873698234558105,
-0.002176100853830576,
-0.021150488406419754,
-0.03215646371245384,
0.05338280275464058,
0.03579682484269142,
0.05465496703982353,
0.01... |
<p>I know Gaussian Progress Regression is completed determined by its mean and covariance functions. For given training and test data, I can compute the covariance matrix correctly like a machine, and I can also describe the main procedure of GPR (compute the joint probability over training data and estimation point, c... | g68793 | [
-0.009493342600762844,
-0.04506243020296097,
-0.018667003139853477,
-0.020696468651294708,
-0.03678043186664581,
0.0009211262222379446,
0.059540554881095886,
0.06681786477565765,
-0.05766861140727997,
-0.023850182071328163,
0.014802008867263794,
0.04467740282416344,
0.04590991884469986,
-0... |
<p>I have two timecourses. Both are the same length. Both are univariate. Each represents the average EEG signal from a unique subgroup. The two subgroups do not have the same number of subjects.</p>
<p>I would like to find individual timepoints where the difference between the two groups is statistically significant.... | g68794 | [
0.009933455847203732,
0.01259252242743969,
-0.009651298634707928,
-0.008655907586216927,
0.01536660734564066,
-0.05367850139737129,
0.04391784965991974,
-0.0184463020414114,
-0.04025640711188316,
0.04201621562242508,
0.020696058869361877,
0.013482931070029736,
-0.0173384640365839,
0.054592... |
<p>I am wondering if the following equality holds - $Var(X + U | X) = Var(U)$? where $X$ and $U$ are two independent random variables?</p>
<p>It seems can we say $Var(X + U | X) = Var(X|X) + Var(U|X) = Var(X|X) + Var(U)$ as $U, X$ independent? And then $Var(X|X) = 0$? But that doesn't seem right.</p>
<p>Can someone c... | g68795 | [
-0.003434572834521532,
-0.0081069590523839,
0.011493822559714317,
-0.0026661038864403963,
0.022355306893587112,
0.028000013902783394,
-0.03155423328280449,
0.023070689290761948,
-0.009358645416796207,
-0.051716629415750504,
-0.039287928491830826,
0.08123813569545746,
-0.040229249745607376,
... |
<p>I'm trying to fit a critical exponential function using <code>nls</code>. The function is of the form $y = a+ (b + cx)r^x$ and has a single maximum/minimum, a single inflection point and an asymptote.</p>
<p>I can sort of estimate starting values for the parameters from the data (eg the asymptote), and this works s... | g42740 | [
0.04707268998026848,
-0.08564629405736923,
0.001044057309627533,
-0.021125687286257744,
0.03581931069493294,
-0.03681196644902229,
-0.019262198358774185,
0.012263847514986992,
-0.014659411273896694,
0.06057518720626831,
-0.012767553329467773,
0.02467351034283638,
0.0641876831650734,
0.0589... |
<p>I've a little question regarding the Discounted Cumulated Gain (DCG) (Sorry, I couldn't find the papers of Järvelin and Kekäläinen). Can this evaluation-metric be used when a information retrieval system has only a binary classification of relevance? If this topic is misplaced, please tell where I should post it. </... | g68796 | [
-0.003461523214355111,
0.03869962319731712,
-0.024809865280985832,
-0.08337859809398651,
0.020327595993876457,
-0.032488446682691574,
0.02239318937063217,
0.028549399226903915,
-0.03056327998638153,
-0.04310276359319687,
-0.01741195283830166,
0.03391069546341896,
0.09490788727998734,
-0.02... |
<p>I am trying to fit a quadratic curve across a scatter plot of two variables. Since both variables are noisy I cannot use an ordinary least square regression (OLS) and I would like to have a symmetrical answer regardless which one I choose to be the independent variable.</p>
<p>Total (orthogonal) least squares regre... | g68797 | [
0.04922320693731308,
-0.0031582314986735582,
-0.0037344370502978563,
-0.05920644477009773,
-0.022189203649759293,
-0.04340077564120293,
-0.021264705806970596,
-0.02077333815395832,
-0.02003607153892517,
-0.0017017826903611422,
0.04059925302863121,
-0.021067140623927116,
0.06499267369508743,
... |
<p>I would like to know, if you got a significant interaction in a two-way repeated measures ANOVA in SPSS, how can you visualize the interaction (especially using syntax)? </p> | g68798 | [
-0.020003199577331543,
0.04021872952580452,
-0.005598802585154772,
-0.05464242771267891,
-0.011702406220138073,
-0.0564977265894413,
-0.0008114903466776013,
0.024832816794514656,
-0.007698921486735344,
-0.018068410456180573,
-0.031162863597273827,
0.014870398677885532,
0.053444281220436096,
... |
<p>I was wondering if anyone had experimented with different functions for calculating the similarity of two sets of survey responses. I am going to be plugging it into a hierarchical clustering algo and need some sort of way to determine similarity. </p>
<p>I was thinking of normalizing and using hyperbolic tangent. ... | g68799 | [
0.025050489231944084,
-0.006982055492699146,
0.008898225612938404,
-0.042172662913799286,
0.000193136278539896,
-0.02526775188744068,
0.026070043444633484,
-0.0008830425795167685,
-0.03297445923089981,
-0.03942494839429855,
-0.006549378391355276,
0.02250685729086399,
0.055177830159664154,
... |
<p>I have two alternative hierachical bayesian models that were designed to the describe the same process (from a high-level point-of-view). Both model provides
comparable (but not identical) inferences on test data-sets and
both exhibits satisfactory behaviours. So from a practical
point-of-view, I have no reason t... | g68800 | [
0.0115950433537364,
-0.011037218384444714,
0.012196041643619537,
-0.012918828055262566,
0.005513221025466919,
-0.043461479246616364,
0.06721247732639313,
-0.019881179556250572,
0.003875782247632742,
-0.03933008387684822,
0.01599505916237831,
0.04609958454966545,
0.05053839087486267,
0.0784... |
<p>Almost two decades ago, Chatfield JRSS(1995)[vol.158,p.441] wrote that </p>
<pre><code>Least-squares theory is known to not apply when the same data are used to formulate and
fit a model so that estimation follows model selection. Substantial model selection
biases can arise, particularly with subset selection me... | g68801 | [
0.03459153324365616,
-0.06211134418845177,
0.02474105730652809,
-0.0021343373227864504,
-0.038987964391708374,
0.00438421918079257,
0.013476317748427391,
0.020615477114915848,
-0.0022523466031998396,
0.030944710597395897,
0.024882204830646515,
-0.018455347046256065,
0.06240212917327881,
0.... |
<p>I have a Cox proportional hazards model. Judging by Schoenfeld residual vs. time plots and corresponding tests for zero slope, there is clear violation of the PH assumption for several of the variables (too many to stratify). </p>
<p>If we take the single-covariate case for simplicity, the original model looks like... | g68802 | [
0.00891891960054636,
-0.06614284217357635,
-0.01397209893912077,
-0.0491974912583828,
0.010811925865709782,
0.04316949099302292,
0.039791468530893326,
0.008720076642930508,
-0.08347534388303757,
0.02188948169350624,
-0.02523869276046753,
0.011897064745426178,
0.013603229075670242,
0.002456... |
<p>I'm currently struggling with my data.</p>
<p>My dependent variable has an N of 332, out of which 180 are system missing, because of the routing in the questionnaire:</p>
<p>First question: Have you taken in the past two years some substantial new machines into production?
Second question: How many percent of y... | g68803 | [
0.016509151086211205,
-0.02690974250435829,
-0.024455321952700615,
-0.018311306834220886,
-0.014844057150185108,
0.007710158824920654,
0.03731324523687363,
-0.04244617000222206,
0.0004370554524939507,
-0.032053738832473755,
0.01133716106414795,
-0.009336658753454685,
0.0216439887881279,
0.... |
<p>What does it mean to determine the power of your experiment via simulation? Does it mean to run the experiment over and over again and count how many times a specific set of null hypotheses are rejected given that they are false?</p> | g29972 | [
0.022392524406313896,
0.05740570276975632,
-0.01175966951996088,
-0.020737947896122932,
0.02145632915198803,
-0.052838798612356186,
0.028656048700213432,
0.04193643853068352,
-0.015473983250558376,
-0.03818707913160324,
-0.017258519306778908,
0.04152271896600723,
-0.010332951322197914,
0.0... |
<p>Given a set of multivariate inputs and corresponding multivariate output for each input, what statistical tools can be used to develop a model between multivariate input and output? I am wondering if using probabilistic graphical models is the way to go.</p>
<p>I have the detailed values of input and output simulta... | g28996 | [
-0.029926521703600883,
-0.022844621911644936,
0.014965368434786797,
-0.03740137070417404,
-0.054914578795433044,
-0.06034352630376816,
0.07144271582365036,
0.0005045958096161485,
-0.06027274206280708,
-0.0454847551882267,
0.006443695165216923,
-0.02047271840274334,
0.06884104013442993,
0.0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.