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<p>Should small sample sizes of 5 and less be included in reports? This is an area of medical training that is currently being reported only to the course level trainers and statistically not included in reports to upper management. All of the data is mined from course-level surveys.</p>
g63598
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<p>I am doing multiple regression with some data (5 predictors, 1 response). Since the response is discrete and non-negative, I thought I would try Poisson regression. However, the data are significantly overdispersed (variance > mean), so I am now trying negative binomial regression.</p> <p>I was able to fit the mode...
g37645
[ 0.03358771651983261, -0.02915901318192482, -0.0063007003627717495, -0.02696738950908184, 0.04288511723279953, 0.02497233636677265, -0.008083653636276722, -0.030980844050645828, -0.07512039691209793, -0.060606684535741806, -0.005978880450129509, -0.03380664065480232, -0.035250354558229446, ...
<p>I am new to SVM. I would like to use SVM to segment/cluster/classify a road image into two distinct regions i.e. drivable region and non-drivable region. Unfortunately, I do not have any images where the regions are already labeled.</p> <p>I really don't know how to go about this i.e. specifying the training set. W...
g40739
[ -0.035539258271455765, 0.01206222828477621, 0.014819502830505371, -0.01436053216457367, -0.0009508184157311916, -0.08085169643163681, -0.019315749406814575, 0.08163909614086151, 0.0039003363344818354, -0.011714876629412174, 0.04925572872161865, 0.010559813119471073, 0.07645183801651001, 0....
<p>I'm doing some analysis of Bureau of Labor Statistics data on wages earned by men and women, and I'm trying to determine which of the two methods I've used is the better estimate of the gender wage gap.</p> <p>The first compares the median weekly earnings of all women employed full-time (669 USD) against the median...
g21357
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<p>I've got a question from a colleague about what sort of mean to use in calculating the average of the deviations of actuals from a forecast, which are in percent. The data look(s) like this:</p> <pre><code>-0.26 -0.21 -0.9 1.56 1.88 </code></pre> <p>For example, the last unit above beat the forecast by 1.88%. My i...
g21358
[ -0.013620340265333652, -0.008929092437028885, -0.013320370577275753, -0.03864098712801933, -0.005742345936596394, -0.024972829967737198, 0.02532506361603737, 0.02127991057932377, -0.04809677228331566, -0.03047672100365162, 0.017477696761488914, 0.05677505210042, 0.07579461485147476, -0.052...
<p>I have been tasked with trying to modify our current "index" which basically takes 4 observations per person and calculates a score based on what they achieve. Here is how the score is created (all variables are ordinal in nature, higher scores representing more desirable outcomes):</p> <ul> <li>Variable A - gets ...
g63599
[ -0.006856374442577362, -0.04791881516575813, -0.020168740302324295, -0.06419044733047485, -0.020595768466591835, -0.035531289875507355, -0.012699113227427006, 0.041484907269477844, -0.040486954152584076, 0.011111992411315441, 0.026270056143403053, 0.037637125700712204, 0.06952083110809326, ...
<p>I have a question concerning the use of the <code>kwallis2</code> test in Stata. If looking at the multiple comparison output, I receive a probability and (NS) or (S).<br> What does the probability there mean and to what does the program compare this value to reach the outcome significant or not? I suppose that the ...
g37582
[ 0.003125229151919484, -0.07482102513313293, -0.007453560829162598, 0.0031276876106858253, -0.02043291926383972, -0.012899917550384998, 0.02848956547677517, 0.017566192895174026, -0.030537506565451622, -0.02272351086139679, -0.022363899275660515, 0.023506326600909233, 0.07567356526851654, 0...
<p>There are three <em>bandwidth selector functions</em> programmed in the <em>ks</em> package: Hpi, Hscv and Hpi.kfe, what is the difference between them?</p> <p>And what is the difference between a <em>plug-in</em> and a <em>smoothed cross validation</em> bandwidth selector?</p>
g63600
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<p>I have a binary classification problem and using neural network and SVM for it. So I choose a threshold (for instance, 0.5) for output of neural network. If output is greater than 0.5 it belongs to class 1 and if it is smaller than 0.5 it belongs to class 2. </p> <p>After training the network, for out sample data h...
g63601
[ 0.0197446271777153, 0.009184514172375202, 0.014607799239456654, 0.049527447670698166, -0.017296485602855682, -0.03385956585407257, -0.00005022664845455438, 0.05363266542553902, -0.05723501741886139, 0.0020360061898827553, -0.05756359174847603, 0.05016888678073883, 0.09321102499961853, 0.02...
<p>I am trying to do a study on death of malaria in certain in order to estimate the best way to predict how dangerous is this disease. </p> <p>I don't have a strong background in statistics, I am auto-learner building my knowledge on the online courses. </p> <p>First, I collected the data this way :</p> <pre><code>...
g21360
[ 0.02684328518807888, -0.025759929791092873, 0.010842214338481426, -0.06441318243741989, 0.014078470878303051, -0.01738969050347805, 0.008207268081605434, -0.0168691948056221, -0.05566160008311272, -0.052251432090997696, 0.014827564358711243, 0.030301257967948914, 0.022704800590872765, -0.0...
<p>I have a large set of tweets to which i plan to use cosine similarity to cluster the tweets. I found NLTK's GAAC to be good but how do i convert the tweets into vectors?</p> <p>In <code>nltk.cluster.gaac.demo()</code> the data was passed as a vector <code>[array([ 0.70710678, 0.70710678]), array([ 0.4472136 , 0....
g63602
[ 0.027308117598295212, -0.057582199573516846, 0.019905081018805504, -0.13929858803749084, 0.016354292631149292, -0.020009856671094894, 0.01977800764143467, -0.02646324783563614, -0.02326522395014763, -0.01740574836730957, 0.011202442459762096, 0.005029223393648863, 0.09891234338283539, 0.03...
<p>I want to use a Breusch-Pagan test with time series data, </p> <p>I have regressed the residual on the independent variables and added a lag for the dependent variable: is this the right way to be going about testing Breusch Pagan in time series data?</p> <p><img src="http://i.stack.imgur.com/kFcyz.jpg" alt="ente...
g63603
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<p>Assume that I have ten measurements of a physical quantity that must be non-negative (e.g., mass). Because of measurement error, some of the results are nevertheless negative. Can someone suggest a way to calculate the mean of the 10 measurements so as to incorporate the constraint that the true measurements and the...
g21361
[ -0.04450831562280655, 0.05902216583490372, 0.010884681716561317, -0.04790658503770828, 0.03930656984448433, 0.026001065969467163, 0.024017371237277985, 0.006178641226142645, -0.06805814802646637, 0.0005632544052787125, -0.022313520312309265, -0.03695632144808769, 0.0008939538383856416, 0.0...
<p>I need a rather a prior on the parameters of a Beta distribution (i.e. $\alpha$ and $\beta$). I have an external constraint that requires me to use <strong>univariate</strong> priors, one for $\alpha$ and one $\beta$. </p> <p>Ideally I would like to use two univariate priors that together are as close as possible ...
g21362
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<p>My question is simple: Is there any results regarding the distribution of log-likelihood function gradient? It may be asymptotic results as well.</p>
g21363
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<p>The question considers the dynamic conditional correlation (DCC) model by R.Engle (2002) (full reference at the bottom). </p> <p>EDIT: It seems that I misinterpreted <code>rmgarch</code> output, i.e. I mixed up the sign of the reported log-likelihood. This is likely the root of the problem. (See **** below for deta...
g646
[ 0.04681019112467766, -0.053070735186338425, 0.0018810939509421587, 0.020594097673892975, 0.025161106139421463, 0.02638939954340458, 0.025018882006406784, -0.02416449971497059, -0.042416103184223175, -0.022356431931257248, 0.011717449873685837, 0.049958981573581696, 0.0664583072066307, 0.01...
<p>I have a problem regarding estimating a $M\times 1$ vector from a given $M\times M$ symmetric matrix. The known matrix is a scaled identity matrix with a rank-one update. I have some idea how to start, but I don't know if this is the best way to go.</p> <p>My model of the $M\times 1$ received vector is $\boldsymbol...
g21364
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<p>I'm building a classification model with a pool of independent variables (hundreds of them). I'm in the step of variable selection/feature selection. Now I'm trying to figure out if there are any linear relationships between my Xs and Y. </p> <p>I want to try LASSO with SAS, but cannot make it happen with proc logi...
g63604
[ 0.008928069844841957, -0.02550135739147663, 0.016486920416355133, -0.048841506242752075, 0.020407477393746376, -0.07055141776800156, -0.04319458827376366, -0.018677690997719765, -0.014928004704415798, -0.047204505652189255, 0.004429150372743607, 0.041054293513298035, 0.0859203040599823, 0....
<p>I need to place a Laplace prior on a random variable, however, I want to use a Gaussian distribution whose variance is Gamma(1,1) distributed, i.e., </p> <p>\begin{align} x &amp;\sim N(\mu,\sigma^2)\\ \sigma^2&amp;\sim\text{Gamma}(1,1) \end{align}</p> <p>My question is: Given this above setup, what is the correspo...
g63605
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<p>I'm trying to model the impact of two promotional tactics that ran in parallel for an year, I have the sales information at a month level and couple of metrics corresponding to the promotional tactics for the year, what can be the best approach for this situation?</p> <p>Should I be using ARIMA models (with appropr...
g63606
[ 0.05057837814092636, 0.023573312908411026, -0.021309301257133484, -0.00045660510659217834, 0.002491311402991414, -0.02518569864332676, 0.04013153165578842, -0.02203410305082798, -0.004082131199538708, 0.0016496515600010753, 0.10249608010053635, 0.023259202018380165, 0.05855891853570938, 0....
<p>Trying to build a predictive model for attrition prediction of service desk agents using logistic regression.</p> <p>Data available: Daily performance metrics such as call quality,avg. call duration,attendance,hold duration etc for a duration of 6 months.</p> <p>Issue: all the metrics are measured on a daily basis...
g63607
[ 0.0020447911228984594, -0.017884884029626846, -0.0013568430440500379, -0.03869977965950966, -0.0197739414870739, -0.02134745568037033, 0.05976003408432007, -0.009467825293540955, 0.015319726429879665, -0.04401199519634247, 0.028537826612591743, 0.001166023313999176, 0.032964542508125305, 0...
<p>I have some university rankings data where I am asked to analyze whether a higher %of one variable leads to a higher ranking in a particular area. What kind of statistical analysis should I use in excel and how should I report the findings?</p>
g63608
[ 0.020187707617878914, -0.023804914206266403, -0.02866693213582039, -0.009765573777258396, 0.0053695994429290295, -0.014942583627998829, -0.0017146156169474125, 0.0033879124093800783, 0.003630703780800104, -0.04738231748342514, 0.013379632495343685, 0.03325420245528221, 0.054645244032144547, ...
<p>I want to use a dictionary to analyze a text with text mining mechanisms.</p> <p>So I'm looking for a dictionary with scores for each words, so for example the word "cool", +1, gets a positive score, the word "and" a neutral score, 0, and the word "bad" a negative score, -1.</p> <p>Where can I find a dictionary wi...
g32326
[ 0.005319228861480951, 0.022534100338816643, -0.0066874767653644085, -0.05262332782149315, 0.018748201429843903, -0.036977000534534454, -0.053020697087049484, 0.0495338998734951, 0.0018875068053603172, -0.051102496683597565, -0.04345203563570976, -0.01991056464612484, 0.02900906652212143, -...
<p>In a <a href="http://stats.stackexchange.com/questions/577/is-there-any-reason-to-prefer-the-aic-or-bic-over-the-other">question</a> elsewhere on this site, several answers mentioned that the AIC is equivalent to leave-one-out (LOO) cross-validation and that the BIC is equivalent to K-fold cross validation. Is the...
g42301
[ 0.028161974623799324, -0.024040261283516884, -0.00046757416566833854, -0.0898103341460228, 0.0047073387540876865, -0.05353989452123642, 0.07637330889701843, 0.005905806086957455, -0.07063423097133636, 0.008940117433667183, 0.04629603028297424, 0.024819500744342804, 0.07576140016317368, 0.0...
<p>I'm going through an algorithm that does regression on some training data. My objective is to practically implement this algorithm. The training dataset $X$ consists of $n$ samples, where n = 10. Each sample $x_i$ from $X$ is an array consisting of, say, 3 features. This means that $X$ is a 2D array with 10 rows an...
g23112
[ -0.0026232574600726366, -0.053848497569561005, 0.017054829746484756, -0.04172477498650551, 0.03305192291736603, -0.021211501210927963, 0.026974739506840706, 0.0454692468047142, -0.06977010518312454, -0.014157827012240887, -0.07054027915000916, 0.08413174748420715, 0.03715752065181732, 0.01...
<p>Before running or building a model, ho can we check on the multicollinearity between different covariates in GLM model in R?</p> <p>I know that SAS Proc MIXED procedure gives a column for VIF which is very easy but how to check in R?</p>
g63609
[ 0.027614377439022064, -0.06669009476900101, 0.0008185839978978038, 0.01141419354826212, 0.05016665905714035, -0.04833260551095009, 0.017445961013436317, 0.007956134155392647, -0.02487362176179886, -0.005909672938287258, 0.02342677116394043, -0.028669448569417, 0.05602142959833145, 0.043384...
<p>I have done a principal component analysis using SPSS and now have 3 components. 2 components have 4 items in the subscale, and 1 component has 3 items. Component scores using regression for each factor were added as variables to the data set by SPSS.</p> <p>My question is: can the component scores (the new variabl...
g63610
[ 0.020225604996085167, -0.0590263195335865, 0.01672731339931488, -0.027694134041666985, -0.012117273174226284, -0.041610561311244965, -0.021046064794063568, 0.024851474910974503, -0.018683945760130882, -0.008037389256060123, 0.054374873638153076, 0.03030419908463955, 0.04001910611987114, -0...
<p>What kind of object the predict function in glmnet returns ? I can't access the values of predict.</p> <pre><code>x=matrix(rnorm(100*20),100,20) g4=sample(1:4,100,replace=TRUE) fit3=glmnet(x,g4,family="multinomial") res &lt;-predict(fit3,newx=x[1:2,],type="response", s=0.01) res , , 1 1 2 ...
g63611
[ 0.033173177391290665, 0.0076674604788422585, -0.013251381926238537, -0.02246706560254097, 0.010801266878843307, -0.05619406700134277, 0.06840483844280243, -0.04317464679479599, -0.06352613866329193, -0.038024742156267166, -0.00713730975985527, 0.04984673857688904, 0.05223037675023079, -0.0...
<h3>Context:</h3> <p>I'm a Psychology PhD student. As with many psychology PhD students, I know how to perform various statistical analyses using statistical software, up to techniques such as PCA, classification trees, and cluster analysis. But it's not really satisfying because though I can explain why I did an anal...
g63612
[ 0.03105502761900425, -0.015310379676520824, 0.0046995715238153934, -0.03929652273654938, -0.011527675203979015, -0.042827703058719635, 0.015020066872239113, 0.07403150945901871, -0.025784747675061226, -0.029021400958299637, -0.008928326889872551, -0.04859603941440582, 0.08547426760196686, ...
<p>first of all - thanks for reading this. I have a want to analyze the effect of an intervention, but due to practical circumstances I cannot randomly assign people to it and the interventions differ from company to company in their particular content (but after all it's leadership training for executives). </p> <p>...
g13504
[ -0.009465189650654793, 0.02727152593433857, 0.0050895120948553085, 0.005720636807382107, 0.012355816550552845, 0.006916622631251812, 0.04806613549590111, 0.06791198253631592, -0.015300658531486988, -0.016801105812191963, 0.037746887654066086, 0.017412934452295303, 0.0003170922282151878, 0....
<p>I have conducted an analysis in which I have modeled different variance components. When reporting the results in a table, it is much more concise to report standard deviations instead of variances.</p> <p>So, this brings me to the question - is there ever a reason to report variance instead of standard deviation? ...
g37530
[ 0.014727741479873657, 0.020846180617809296, 0.0033420627005398273, -0.02268398366868496, -0.0005086109158582985, -0.024835269898176193, 0.004928017035126686, 0.0019495737506076694, -0.0005645048804581165, -0.030807526782155037, 0.06224304065108299, -0.036112383008003235, 0.026267100125551224...
<p>I am having trouble extracting coefficients for all levels of a explanatory response from clmm() in the ordinal package. My problem seems basic, and feel I am missing something obvious, forgive me if so.</p> <p>I have a dataset where 120 individuals (users) where each asked to rank 8 musical clips on an ordinal sca...
g63613
[ -0.03285675868391991, -0.07060916721820831, 0.007108949590474367, -0.06502704322338104, 0.028433293104171753, -0.03652419149875641, 0.07171210646629333, -0.015985339879989624, -0.0164532158523798, 0.03564346581697464, -0.03234957531094551, 0.009511596523225307, 0.01720561273396015, 0.03655...
<p>I have a few hundred estimates of a parameter calculated from two different models and I would like to know if these parameters have different variances.</p> <p>What is a straightforward test for comparing the variances of these parameters? (straightforward meaning, least assumptions).</p>
g21373
[ 0.04109475761651993, -0.04755339398980141, -0.023432249203324318, -0.03710999712347984, 0.036662787199020386, -0.0014338588807731867, -0.003314489731565118, -0.016200583428144455, -0.02386837638914585, -0.02397950366139412, -0.02300669066607952, 0.02595675364136696, -0.012120313011109829, ...
<p>Currently trying to fit several models to some data sets in order to find an accurate enough one, I ran into some difficulties with the <code>Arima</code> function of the <code>forecast</code> package.</p> <p>Since I am willing to use this function to fit a data set with long and multiple seasonalities, I tried usi...
g63614
[ 0.01031426340341568, -0.053677190095186234, -0.009061778895556927, -0.046815063804388046, 0.03570638969540596, -0.0278921015560627, 0.02650834619998932, -0.03766394406557083, -0.026006488129496574, -0.00880100205540657, -0.005863658618181944, 0.05025084689259529, 0.060869164764881134, 0.01...
<p>Someone asked me if I did out-of-time testing (which I assume is just out-of-sample testing but with a timeline element). But if I have a test set, is that not essentially the same as out-of-sample testing? </p> <p><strong>Doing an extra out-of-sample testing would basically equal to getting an additional test se...
g20319
[ -0.010282947681844234, 0.00627885153517127, 0.00944450218230486, 0.007078134920448065, -0.020594937726855278, -0.012763983570039272, -0.0008641837630420923, 0.003219311125576496, 0.014936964958906174, -0.022102877497673035, -0.028826378285884857, 0.061161063611507416, -0.0017409935826435685,...
<p>I want to use a cluster analysis (CA) in SPSS to define different profiles in my dataset. I am using different continuous variables for this, including several neuropsychiatric measures. I am new in using clustering analyses, so the background is not completely familiar, but i have read several chapters and articles...
g63615
[ 0.007072446867823601, -0.05295523256063461, 0.010901500470936298, -0.010482079349458218, 0.03201815485954285, -0.022773580625653267, 0.03457222878932953, 0.05584746226668358, -0.04441891983151436, 0.015584709122776985, -0.04025266319513321, -0.017118509858846664, 0.05313245207071304, -0.01...
<p>I work with a very simple setup: I have two possibly very correlated features $x_{1,2}$, with normaliazation such as $\text{var}(x_{1,2}) = 1$, $Ey = Ex_{1,2} = 0$ (for the empirical distribution).</p> <p>I want to avoid multireg effects concerning the size of the $\beta$s, so I want to try the RIDGE regression.</p...
g21375
[ 0.054875899106264114, -0.02497471310198307, -0.03253350406885147, -0.028125256299972534, 0.06317049264907837, -0.04854518920183182, 0.02139444649219513, -0.0042136916890740395, -0.02354377880692482, -0.023721862584352493, -0.022667812183499336, 0.04661893472075462, -0.00953731406480074, 0....
<p>I am planning a study to collect data of patients dying after brain infection versus number of cases for the next 5 years in 2 cities where they manage the disease with different drugs.</p> <ol> <li>Will a <strong><em>year wise t-test be better or year wise Relative Risk of death and meta analysis</em></strong> be ...
g63616
[ 0.02710103616118431, 0.009744440205395222, 0.002870280062779784, -0.02381899021565914, -0.05029633268713951, -0.021908890455961227, 0.004730449058115482, 0.015591568313539028, 0.019594836980104446, 0.015112628228962421, 0.04352162405848503, 0.009431736543774605, 0.05665068328380585, -0.024...
<p>I want to use a cluster analysis (CA) in SPSS to define different profiles in my dataset. I am using different continuous variables for this, including several neuropsychiatric measures. I am new in using clustering analyses, so the background is not completely familiar, but i have read several chapters and articles...
g63617
[ 0.03401275351643562, -0.021758683025836945, 0.0036418524105101824, -0.038281720131635666, 0.015802549198269844, -0.037761129438877106, -0.009055034257471561, 0.046610277146101, -0.04780904948711395, -0.018636921420693398, -0.012984047643840313, -0.00020538918033707887, 0.04607892408967018, ...
<p>What is the name of a distribution such that it looks like uniform distribution on $[a, b]$, but the density is not a horizontal line, but a line with a certain slope.</p>
g63618
[ 0.05443413183093071, 0.02759767509996891, -0.044447168707847595, -0.022238675504922867, 0.006044459994882345, 0.0211940947920084, -0.018951671198010445, -0.01858537457883358, -0.01791590452194214, -0.06070944294333458, 0.03979869931936264, -0.025273332372307777, 0.036350056529045105, -0.00...
<p>I need to do a model with a generalized linear model. My data are these: habitat : 0 or 1, group : 1 or 0 , mortality : yes or no, and the numbers of individuals for each case (habitat, group and mortality are factors). My model is <code>glm(moratily~indiv+habitat+group,data,family=binomial(logit))</code></p> <p>I...
g63619
[ 0.0028972735162824392, -0.05348130688071251, 0.003950011916458607, -0.008076001890003681, 0.027099087834358215, 0.021207626909017563, 0.0013713528169319034, 0.03046245127916336, -0.06639373302459717, -0.029095321893692017, 0.03609444946050644, -0.008729648776352406, 0.05314216390252113, 0....
<p>Is it possible to have a training data set for the k nearest neighbour with several categories likes 700 and about 10 attributes?</p>
g13531
[ -0.03958917781710625, -0.01650819182395935, 0.009544583037495613, -0.057876281440258026, -0.0170423686504364, -0.008682508952915668, -0.046620819717645645, 0.011481494642794132, -0.024741213768720627, -0.05087216570973396, -0.014445007778704166, 0.04937073215842247, 0.06509170681238174, 0....
<p>I have a quantity defined as: $P_{frac} = \frac{F_{max}-F_{min}}{F_{max}+F_{min}}$</p> <p>I also have the value for $F_{max}$, $F_{min}$, and their statistical errors.</p> <p>How can I calculate the error for $P_{frac}$?</p>
g63620
[ 0.04567277431488037, -0.062445804476737976, -0.01507135946303606, 0.01456826739013195, 0.040097881108522415, 0.0035127755254507065, -0.01731649599969387, 0.012834785506129265, -0.07151717692613602, -0.04007524251937866, -0.022158948704600334, -0.006950637325644493, 0.07971107959747314, 0.0...
<p>I am trying to understand how to derive the confidence interval for unpaired samples when the population variance is unknown and we assume that they are equal:</p> <p>$$({\bar X} - {\bar Y}) \pm t_{\alpha,n_x+n_y-2}S_p \sqrt{\frac{1}{n_x}+\frac{1}{n_y}} \tag{*}$$</p> <p>where $S_p$ is the pooled standard deviation...
g63621
[ -0.005202552769333124, -0.009497550316154957, -0.018590141087770462, -0.02056904323399067, 0.029893994331359863, 0.027845801785588264, 0.030235951766371727, 0.020807405933737755, -0.004876479506492615, -0.011202923953533173, -0.03140048682689667, 0.05450727045536041, -0.010580870322883129, ...
<p>Hi I am looking for a result (if it exists !!!) in the direction of Normal approximation for sum of correlated Bernoulli random variables (edit : with the same parameter $p$) where correlation between any pair of distinct Bernoulli variables entering into the summand is constant and equal to $0&lt;\rho&lt;1$.</p> <...
g63622
[ -0.01071676891297102, -0.0010271051432937384, -0.007535560522228479, -0.032325927168130875, -0.018769217655062675, 0.03406938165426254, 0.01312874723225832, -0.01974600926041603, -0.0043342821300029755, -0.021287670359015465, -0.003741159336641431, 0.05903070047497749, -0.07293680310249329, ...
<p>I am to find the expected value, variance and, preferably, the distribution of the variable $z_n$, where $z_n$ is given by</p> <p>\begin{equation} z_n = \exp\left\{ \Delta t \sum_{i = 1}^n k_i \exp\left\{a_i x \right\} \right\}, \end{equation} and $x$ is a random variable with Gaussian distribution and is the same ...
g63623
[ -0.002673825714737177, -0.015019410289824009, -0.03818507865071297, 0.011201427318155766, -0.024141786620020866, -0.026207376271486282, -0.021802805364131927, -0.006199944298714399, -0.0032951729372143745, -0.02776692435145378, -0.032552655786275864, 0.025237765163183212, 0.00165754649788141...
<p>I´d like to analyse the effect of a treatment (<code>treatment : Factor w/ 2 levels "ambient","elevated"</code>) in tree diameter increment. Tree diameter is influenced by tree size. To do so, I performed the following lm:</p> <pre><code>Call: lm(formula = BAI2013 ~ diameterJul12 * treatment, data = bandNA) Res...
g21387
[ -0.010942889377474785, -0.07022517919540405, -0.0020336550660431385, -0.013725439086556435, -0.008913702331483364, -0.0032154375221580267, 0.04122089222073555, -0.007119746878743172, -0.02345266193151474, 0.0026433956809341908, -0.017027895897626877, 0.06469116359949112, 0.03810860216617584,...
<p>I am trying to conduct a study into whether or not female board presence affects firm performance. My background is accountancy and business NOT maths or statistics and so I don't really understand SPSS or regression analysis. However, I have been told that this is what i must do. </p> <p>I have obtained data on 68...
g42503
[ 0.02851840853691101, 0.009438881650567055, -0.008625316433608532, 0.003406327683478594, -0.014584245160222054, 0.020321238785982132, 0.02935093455016613, -0.006605861708521843, -0.028870929032564163, -0.008491800166666508, 0.020752575248479843, 0.016365263611078262, 0.0297683235257864, 0.0...
<p>I did a principal component factor analysis with varimax rotation in SPSS. 69 variables were reduced to 12 components, but 2 components are blank and without any variable. Namely: all of my variables distributed to 12 component but the table has 14 component &amp; 2 component is blank (without variable). Why? I gues...
g40784
[ 0.05037107691168785, -0.07143475860357285, 0.01158230658620596, -0.07746633887290955, 0.008096182718873024, -0.00418689101934433, 0.05839155614376068, 0.03616482764482498, 0.002082696883007884, -0.02545720711350441, 0.010687386617064476, 0.034601759165525436, 0.011858800426125526, 0.017860...
<p>Has anyone ever tried to calculate DIC "manually" from WinBUGS output? I tried for the simplest linear model, and could get exact the same Dbar, but always a bit different Dhat. I think Dhat calculation is just -2(log(likehood(posterior mean of parameters))). Any clue about that? Thanks in advance!</p>
g63624
[ -0.029449647292494774, -0.042578816413879395, -0.0012146207736805081, -0.03551788628101349, -0.012841637246310711, -0.07055778056383133, 0.042760755866765976, 0.005493978038430214, -0.09371140599250793, -0.019790975376963615, -0.030631909146904945, 0.01870455965399742, 0.09579315781593323, ...
<p>My knowledge of statistics are small so I need a little bit of help. </p> <p>I have some data showing the relationship between age and walking speed. The numbers of walking speed are presented only as the 15th and the 50th percentile. For example: Child(0-12 years): 1.07m/s (15th percentile) 1.33m/s (50th percen...
g63625
[ 0.010549575090408325, 0.0054907165467739105, -0.0010428773239254951, -0.029649339616298676, -0.0371566042304039, -0.010096554644405842, 0.0648774653673172, 0.007714295294135809, 0.015995042398571968, -0.03701908141374588, 0.02844039537012577, -0.014158328995108604, 0.02492791973054409, 0.0...
<p>We have some time series data for evaluating the effect of a drug in an animal model, with two dose levels and a control. So far we've looked at ANOVA for each time point, and there's a significant effect for the middle time points. However, the drug dose is not constant, as it needed to be reduced at later time poi...
g63626
[ -0.0010481857461854815, -0.005014718044549227, 0.015290865674614906, 0.012584956362843513, -0.007780678104609251, -0.02725626714527607, 0.018785864114761353, 0.03382857143878937, -0.05247410014271736, 0.0272742360830307, -0.0005265256040729582, 0.025081489235162735, 0.04446423053741455, 0....
<p>If $A$ is symmetric and $Y\sim\mathcal N(0,V)$, how can I show that $Y'AY\sim\sum_{i=1}^{t}(c_i * \chi^2(1))$ with 1 degree of freedom), where $c_i$ can be any scalar? </p> <p>I multiplied out the canonical case where length($Y$) is two, and got $$ \begin{aligned} Y'AY &amp;= [Y_1 Y_2] \left[\begin{array}{cc} a_{11...
g45991
[ 0.007137949112802744, 0.006140727084130049, -0.013883717358112335, -0.02046217955648899, 0.03275090083479881, -0.044174350798130035, 0.08502855151891708, -0.033908240497112274, 0.019222918897867203, 0.062272168695926666, -0.05578003451228142, 0.07078874111175537, -0.010827449150383472, -0....
<p>Not sure whether the claim is true or false.</p> <p>If claim is true, intuitively, it might have something to do with "least favorable priors", but am not able to figure out the connection.</p> <p>If claim is false, one example is when $X_i|\theta \sim $ Poisson$(\theta)$, then $\bar{X}$ is minimax. But a Gamma$(\...
g10409
[ 0.04261175915598869, 0.016267992556095123, 0.0018954375991597772, -0.04727679118514061, 0.01516537182033062, -0.015424288809299469, -0.02549898438155651, 0.009185906499624252, -0.040348950773477554, -0.08180859684944153, 0.025814883410930634, 0.07232125848531723, -0.05588928982615471, 0.04...
<p>I am checking the description of <a href="http://en.wikipedia.org/wiki/Poisson_process" rel="nofollow">Poisson process from Wikipedia</a>. The Poisson process is based on four assumptions, but I am not clear this:</p> <blockquote> <p>No counted occurrences are simultaneous.</p> </blockquote> <p>Can you explain t...
g63627
[ 0.07635972648859024, 0.010518553666770458, 0.007622536271810532, -0.038503825664520264, 0.05451207980513573, -0.02310025505721569, 0.0678439512848854, 0.06282971054315567, -0.02569718100130558, -0.058153215795755386, -0.08569392561912537, 0.0032209022901952267, -0.004555956460535526, 0.012...
<p>I am reading chapter 5 of $\textit{Bayesian Data Analysis}$ by Gelman $\textit{et al.}$. There it explains the few steps of data analysis for hierarchical models and if I quote from the book it will be:</p> <p>"We first perform the following three steps analytically.</p> <ol> <li><p>Write the joint posterior densi...
g63628
[ 0.07165713608264923, -0.012994264252483845, 0.006728189066052437, -0.04971056804060936, -0.020312463864684105, 0.02560114860534668, -0.004114492330700159, -0.0017355933086946607, -0.05806003138422966, -0.012191223911941051, 0.015519390814006329, 0.00964741874486208, -0.018216045573353767, ...
<p>I have used ANOVA function so that I can get the overall p value of significant factors:</p> <pre><code>&gt; anova(lmer81) Analysis of Variance Table Df Sum Sq Mean Sq F value sex 1 0.12 0.118 0.0195 vowel3 2 399.96 199.982 33.0859 Language 2 120.4...
g16474
[ -0.008140644058585167, 0.00024676023167558014, 0.012789539992809296, -0.06964057683944702, -0.00895370077341795, 0.0470963679254055, 0.019068030640482903, 0.025402706116437912, -0.0392991378903389, -0.03746327757835388, -0.06436604261398315, 0.028807716444134712, 0.03508167341351509, -0.00...
<p>I extract data related to a movie by sentiment analyzing the reviews. Hence,extracted movie data contains average sentiment values (avg_pos and avg_neg) calculated over multiple reviews, total no of reviews, total positive reviews and negative reviews.(Note: total_reviews may not be equal to sum of positive and nega...
g63629
[ 0.011275737546384335, -0.03205564618110657, -0.027007775381207466, -0.03076707199215889, -0.0026758138556033373, -0.041809022426605225, 0.004039390943944454, 0.05011123791337013, -0.04535388574004173, 0.032762136310338974, -0.005024243146181107, 0.022981850430369377, 0.021421140059828758, ...
<p>I have two variables, both categorical, one with skewed responses. How do you deal with skewed data in the chi-squared test? Are there any other relevant tests? I want to perform the test in SPSS. </p>
g13688
[ 0.0041807061061263084, -0.043030835688114166, 0.015097452327609062, -0.019585244357585907, 0.020792357623577118, -0.004480622708797455, -0.0664757639169693, 0.0655377134680748, 0.027994580566883087, 0.0020808030385524035, 0.010585949756205082, 0.005143158603459597, 0.03243304044008255, 0.0...
<p>there is a short introduction to AB Tests in <a href="http://stats.stackexchange.com/questions/4884/aggregation-level-in-ab-tests">this question</a> or <a href="http://20bits.com/articles/statistical-analysis-and-ab-testing/" rel="nofollow">here at 20bits</a>.</p> <p>We are currently testing different versions of l...
g21399
[ -0.002778727561235428, -0.00514364754781127, -0.026734795421361923, 0.01441310252994299, 0.01674935407936573, -0.02444695681333542, 0.0672444999217987, 0.014274697750806808, 0.012310747057199478, 0.007540089078247547, 0.048730820417404175, 0.01593797281384468, 0.08506615459918976, 0.014542...
<p>Why do we seek to minimize <code>x^2</code> instead of minimizing <code>|x|^1.95</code> or <code>|x|^2.05</code>. Are there reasons why the number should be exactly two or is it simply a convention that has the advantage of simplifying the math?</p>
g63630
[ 0.03598237410187721, 0.05799821391701698, 0.024546785280108452, 0.009973411448299885, 0.02115866169333458, -0.028892358765006065, 0.04503567889332771, 0.001406776369549334, -0.07376953214406967, -0.03820788115262985, -0.07568433880805969, 0.0067075276747345924, 0.022729432210326195, 0.0432...
<p>After running an OLS regression, I ran the Ramsey RESET test using the stata command 'ovtest' and 'ovtest,rhs'. </p> <p>Two tests gave the opposite results. With the first one, I could not reject the Null, while the latter rejected the Null.</p> <p>The stata says "rhs specifies that powers of the right-hand-side ...
g63631
[ 0.04166078567504883, -0.008043037727475166, -0.005083587486296892, -0.05997445434331894, 0.005218126345425844, -0.026363670825958252, -0.012116390280425549, 0.01445501297712326, 0.04201846197247505, -0.04896656423807144, 0.03981989994645119, 0.06643018126487732, 0.00102259183768183, 0.0035...
<p>A company supplies specialized high-tensile pins to a customer.It uses an automatic lathe to produce the pins.Due to factors such as vibration, temperature and wear and tear, the lengths of pins are normally distributed with a mean of 25.30 mm and a standard deviation of 0.45 mm. The customer will only buy those pin...
g63632
[ 0.07362919300794601, 0.017247701063752174, 0.006616793107241392, -0.04643337428569794, 0.009785346686840057, 0.013417558744549751, 0.04478389024734497, 0.0395573191344738, -0.036504022777080536, 0.04450798034667969, -0.048705365508794785, -0.0068701161071658134, 0.008699645288288593, -0.03...
<p>Let $X_{1},..,X_{n}$ be independent, each with a exp($\lambda$) distribution. Let $Z=min(X_{1},..X_n)$. Show that $n\lambda Z$ has an exp$(1)$ distribution. </p> <p>I calculate that $P(Z&gt;z)=e^{-n\lambda z}$. Hence the density function of $n\lambda Z$ is $f(z)=(n\lambda)^2e^{-n\lambda z}$. But an $exp(1)$ distrib...
g63633
[ -0.0011103186989203095, 0.03153619170188904, -0.01874552294611931, 0.009002575650811195, 0.019904909655451775, -0.028107773512601852, -0.04989755153656006, 0.016345927491784096, -0.04997915402054787, 0.01171026285737753, -0.05631161108613014, 0.0033959290012717247, 0.02478867582976818, 0.0...
<p>I have learning data consisting of ~45k samples, each has 21 features. I am trying to train a random forest classifier on this data, which is labelled to 3 classes (-1, 0 and 1). The classes are more or less equal in their sizes.</p> <p>My random forest classifier model is using <code>gini</code> as its split quali...
g63634
[ -0.06559007614850998, 0.017012428492307663, 0.023296058177947998, -0.03267165273427963, 0.03797879070043564, -0.02011859230697155, 0.00018282509699929506, -0.007268398534506559, 0.013530323281884193, -0.03349146991968155, 0.007766492199152708, 0.019368428736925125, 0.037164606153964996, -0...
<h2>Abstract</h2> <p>I am getting numerical overflow warnings in pymc that are stalling the sampler. I'll first specify what the context is then ask more directed questions about the solution. The context portion can probably be skipped; I included it in case some feature of it is possibly relevant to the solution.</p...
g63635
[ 0.007729531265795231, 0.0009138803579844534, 0.007703808136284351, -0.07085065543651581, 0.02820204757153988, -0.0024629360996186733, 0.0733933225274086, -0.06227884814143181, -0.03706357255578041, -0.004766419529914856, 0.04438820108771324, 0.029517656192183495, 0.027108386158943176, 0.03...
<p>I'm aware that the t-test needs 'normally distributed data'. </p> <p>But take the variable <code>y</code>. When it is plotted without being split by <code>group</code>, it isn't normally distributed:</p> <pre><code>set.seed(1) y &lt;- c(rnorm(1000, 1), rnorm(1000, 5)) group &lt;- c(rep("A", 1000), rep("B", 1000)) ...
g49677
[ -0.0016451659612357616, 0.025518305599689484, -0.02586820349097252, -0.05171218141913414, 0.017614122480154037, 0.0007693544030189514, 0.041270386427640915, 0.037970274686813354, -0.051327358931303024, -0.009379429742693901, 0.04868822172284126, 0.0027087307535111904, -0.02258189022541046, ...
<p>If I hypothesize that a gene signature will identify subjects at a lower risk of recurrence, that is decrease by 0.5 (hazard ratio of 0.5) the event rate in 20% of the population and I intend to use samples from a retrospective cohort study does the sample size need to be adjusted for unequal numbers in the two hypo...
g63636
[ 0.01825411058962345, -0.03518505394458771, 0.008528141304850578, 0.0016544605605304241, 0.012128761038184166, -0.05095669999718666, -0.0016429699026048183, 0.07530372589826584, -0.013916859403252602, 0.01316581666469574, 0.011462352238595486, 0.05526153743267059, 0.028497228398919106, -0.0...
<p>The Wald, Likelihood Ratio and Lagrange Multiplier tests in the context of maximum likelihood estimation are asymptotically equivalent. However, for small samples, they tend to diverge quite a bit, and in some cases they result in different conclusions.</p> <p>How can they be ranked according to how likely they are...
g63637
[ 0.06773404777050018, -0.030828211456537247, -0.008195559494197369, -0.0309684406965971, -0.017889617010951042, -0.040859512984752655, -0.033943187445402145, 0.02687608264386654, -0.02231810986995697, 0.005030764266848564, 0.01586122252047062, 0.010249203070998192, 0.05216573551297188, 0.06...
<p>I am bit confused in terms of analyzing my data. I have done an experiment which involves testing of detection systems with controlled footage.The footage has been grouped based on scene properties (or factors). </p> <p>I have about 7 factors and each of the factors has different levels. For example, Distance facto...
g63638
[ -0.007462651468813419, -0.03212578967213631, 0.020143931731581688, -0.009535569697618484, 0.051368508487939835, -0.07161062210798264, 0.0652783066034317, -0.01573406159877777, -0.0466451458632946, -0.047573238611221313, -0.027769600972533226, 0.04876388981938362, 0.03335810825228691, 0.064...
<p>If I have a dependent variable Y and two independent variables X1 and X2 , that are highly correlated. </p> <p>Y ~ beta1*X1 + beta2*X2 </p> <p>What issues can multicollinearity cause in an OLS regression, apart from unstable beta1 and beta2 estimates ? </p>
g49678
[ -0.014793957583606243, 0.012093844823539257, -0.015441803261637688, -0.023616598919034004, 0.0441797710955143, -0.016336634755134583, -0.051954980939626694, -0.0028551986906677485, -0.001900291070342064, -0.038668934255838394, -0.04264580085873604, -0.004708347842097282, 0.024881763383746147...
<p>Suppose I am aggregating data at multiple granularities, where each key is associated with the number of counts collected during the time interval.</p> <p>EX:</p> <p>1 minute { x:2, y:5, z:3, a:312 }</p> <p>This is a small example, the real set will have anywhere from 1000-6000 unique keys associated with the num...
g63639
[ 0.03345203772187233, 0.03214745596051216, 0.006041455082595348, -0.02294827252626419, -0.025126686319708824, -0.028648052364587784, 0.01827111467719078, -0.04489494860172272, -0.07017672061920166, 0.04231759533286095, 0.008610525168478489, 0.03842734917998314, 0.01592007465660572, -0.00739...
<p>I am working with real world data which is interval censored data and also with the case of mixed exact observation with right censored data. I would like to know what is the formula of the Hellinger distance and Integrated square error in the case of interval censored data ? Is there any references in this case?</p...
g21408
[ 0.03931024298071861, -0.04028379172086716, -0.0009278240613639355, -0.01581607013940811, -0.03371359780430794, 0.02045503631234169, 0.03168138116598129, 0.005117181688547134, -0.023538142442703247, 0.026975050568580627, 0.0032638306729495525, 0.02434568852186203, 0.07801002264022827, -0.01...
<p>Suppose we have the following AR(1) correlation matrix:</p> <p>$$ \begin{bmatrix} 1 &amp; \alpha &amp; \alpha^{2} \\ \alpha &amp; 1 &amp; \alpha \\ \alpha^{2} &amp; \alpha &amp; 1 \end{bmatrix}$$</p> <p>How many parameters need to be estimated? Wouldn't it just be $1$ since if we have an estimator for $\alpha$ the...
g63640
[ 0.030666157603263855, -0.02309665083885193, -0.001951994257979095, -0.01813456416130066, 0.03809649124741554, -0.051815375685691833, 0.03608936071395874, 0.056017547845840454, -0.05283171311020851, 0.027903947979211807, -0.04770595580339432, 0.014407089911401272, -0.02686699666082859, 0.05...
<p>Okay, I have two different data sets, A and B, both of which correspond to a third data set, C. I have run least-squares regression on both A with C and B with C. The correlation coefficient of A with C is 72.9%, compared to 66.5% for B with C. How do I know or how do I test that that 6.5% difference is significa...
g63641
[ 0.054765671491622925, -0.044568032026290894, 0.011383931152522564, -0.06654477119445801, 0.044446468353271484, -0.031034035608172417, -0.0024516014382243156, -0.0318974144756794, -0.005549204535782337, -0.08081316947937012, -0.007313095033168793, 0.048560500144958496, 0.04100826010107994, ...
<p>Suppose you fit a linear regression model on some data with 10 variables. The <em>F</em>-statistic shows that 3 of them are significant (<em>p</em> &lt; 0.05) , 2 are within trend (0.05 &lt; <em>p</em> &lt; 0.10), and the other 5 are <em>p</em> > 0.10. Is it OK to throw out the other 5 (<em>p</em> > 0.10) and retrai...
g49646
[ 0.014925561845302582, 0.00058468256611377, 0.006700916215777397, -0.04157768189907074, 0.024228250607848167, 0.0078604556620121, -0.006103605031967163, 0.054420292377471924, -0.07188556343317032, -0.014093764126300812, -0.0067909518256783485, 0.03038342297077179, 0.005112818907946348, -0.0...
<p>I'm trying to express the results of an ordinal regression with a certain "perspective", and I'm confused.</p> <p>My dependent variable is an ordinal representing the progression in a scale of negative outcome (e.g. 0 = ok, 1 = bad outcome, 2 = very bad outcome).</p> <p>My independent variables are negative percen...
g63642
[ 0.01088149193674326, -0.04410320892930031, -0.01218364480882883, -0.054235249757766724, 0.030718285590410233, -0.027361543849110603, 0.004063996486365795, 0.011720866896212101, 0.0011484911665320396, -0.02644207887351513, 0.025976942852139473, 0.032169606536626816, 0.05871744453907013, -0....
<p><img src="http://i.stack.imgur.com/Japn9.jpg" alt="enter image description here"></p> <p><img src="http://i.stack.imgur.com/8Zpvm.jpg" alt="enter image description here"></p> <p>Above is part of an examination paper. I am not sure how to understand this SAS output. Especially what is there in the last table which ...
g63643
[ 0.03864932060241699, -0.031494420021772385, -0.01764211431145668, -0.048285599797964096, -0.011789807118475437, -0.025674371048808098, 0.019658761098980904, -0.00027189659886062145, -0.021992277354002, -0.04732061177492142, -0.015465940348803997, 0.07496660947799683, 0.09263116866350174, -...
<p>I have a simple regression equation where log(salary) = b0 + b1*log(sales).</p> <ol> <li>How would you interpret b1 in this model?</li> </ol>
g49358
[ 0.0339251384139061, -0.038853563368320465, 0.0044479453936219215, -0.011579533107578754, 0.023947540670633316, -0.015608306974172592, 0.04507829621434212, 0.027922719717025757, -0.01374142337590456, -0.06593970954418182, -0.04358880966901779, 0.02646542340517044, 0.048131078481674194, -0.0...
<p>This is question 3.8.4 of An Introduction to Mathematical Statistics and Its Applications, 5th Edition, by Larsen and Marx. This is not homework for a class I am taking now, but might someday be for a class I'll take in the future. </p> <p>The goal could be expressed in terms of probabilities, to try and show tha...
g63644
[ 0.03178756311535835, -0.027422742918133736, -0.01919526234269142, -0.055724795907735825, -0.03317350521683693, -0.06009799242019653, 0.036383483558893204, -0.030974462628364563, 0.02107274904847145, 0.00944081787019968, 0.007023834157735109, 0.04329647123813629, 0.004479242954403162, -0.00...
<ol> <li><p>I have a multiple regression equation where log(salary) = b0 + b1(ceotenure). What is the purpose of putting the dependent variable in logarithmic form? How would you interpret the change in y for a 1 unit increase in ceotenure?</p></li> <li><p>For this multiple regression equation, what are the unit measur...
g63645
[ 0.025262245908379555, -0.002545905765146017, -0.009541056118905544, 0.005782218649983406, 0.023160595446825027, -0.015448519960045815, 0.023259073495864868, -0.0009584493818692863, -0.03040982224047184, -0.05552251264452934, -0.042450036853551865, 0.04267456382513046, 0.05578627064824104, ...
<p>Let X denote a real-valued random variable with distribution function F and characteristic function $\phi$. Suppose that $\phi$ satisfies the following condition:</p> <p>$\hspace{25mm}$$$\lim_{T\to\infty}\int_{-T}^{T}\phi(t) dt = 2$$</p> <p>What can be said about the distribution?</p> <p>Attempt: </p> <p>The dis...
g63646
[ 0.03194934502243996, -0.01886972412467003, -0.04542174190282822, -0.07471341639757156, -0.028482332825660706, 0.0034252230543643236, 0.048931416124105453, 0.0340493805706501, -0.0567401722073555, 0.030025070533156395, -0.023677028715610504, 0.04808880016207695, -0.0031399005092680454, -0.0...
<p>I know the question sounds weird or perhaps, silly. And my limited knowledge in statistics might have caused ambiguity in presenting the problem. But still, here's the case:</p> <p>Suppose there's a population of bernoulli experiments and the probability of success of these bernoulli experiments follow a normal dis...
g21419
[ -0.04102045297622681, 0.012168132700026035, 0.01764257252216339, -0.036040302366018295, -0.016051288694143295, -0.006128592416644096, -0.025553032755851746, 0.001264078775420785, -0.0046061002649366856, -0.04861217737197876, -0.0358751118183136, -0.01195539254695177, -0.006553283426910639, ...
<p>I am trying to increase my model accuracy by taking into account interaction effect of relevant variables. I am choosing variables to interact based more on the common sense than on trying every combination. So far most interaction effects with good p value ( p&lt;.0001) and chi-square have resulted in an increase...
g63647
[ 0.0010792437242344022, 0.006677262485027313, -0.0010583761613816023, -0.015333864837884903, 0.08330248296260834, 0.006032848730683327, 0.013255452737212181, 0.05820068344473839, 0.0038927742280066013, 0.014169142581522465, -0.01621059700846672, 0.002110811183229089, 0.008466457948088646, 0...
<p>First of all, I would like to note that I have read similar topics in CrossValidated but I am not fully satisfied. </p> <p>I have a dataset which consists of an $N\times M$ binary matrix. 1 means that an action is performed and 0 that it is not. </p> <p>I apply PCA to the dataset and surprisingly get very good res...
g49447
[ 0.010727031156420708, -0.012485268525779247, 0.02307732217013836, -0.01848113350570202, -0.010340004228055477, -0.07014244794845581, 0.055162083357572556, 0.019108394160866737, -0.06944508105516434, -0.03011264093220234, 0.02207067981362343, 0.01420451421290636, -0.0006237499183043838, 0.0...
<p>I have to show that $\sup_{n \in \mathbb{N}}|Tr(A_nB_n)| &lt; \infty$. I know that $\sup_{n \in \mathbb{N}}||A_n||, \sup_{n \in \mathbb{N}}||B_n|| &lt; \infty$, where $A_n,B_n$ are $2 \times 2$ random matrices and $ ||X|| = Tr(XX^T)^{1/2}$. Is there any inequality which I can use?</p>
g63648
[ -0.06371507048606873, 0.045412804931402206, -0.02661769837141037, -0.03851303830742836, -0.00780738890171051, -0.04390352964401245, 0.012112678959965706, 0.0014365090755745769, -0.014658098109066486, 0.029675403609871864, -0.033654797822237015, 0.007147886324673891, -0.028348546475172043, ...
<p>I am new to this forum and still quite novice with regards to statistics. </p> <p>In my M.A. thesis I use one binary dependent variable and one unordered categorical dependent variable in separate estimations. I am therefore trying to get an oversight over the debate of whether to use linear or logistic regression ...
g18304
[ -0.041518766433000565, -0.015760071575641632, 0.017288468778133392, -0.021671107038855553, -0.009753555059432983, -0.016750551760196686, -0.061705317348241806, -0.009022125042974949, -0.012600209563970566, -0.03463587909936905, 0.03153398633003235, -0.048365518450737, 0.015791501849889755, ...
<p>I have a data set consisting of interactions between male-female dyads within a group in two conditions. The values range from -1 to 1 and indicate how responsible the female was for maintaining the relationship (Hinde's index). What I want to see is if the female responsibility changes in the two conditions. My und...
g21423
[ 0.015714341774582863, 0.004647918976843357, -0.007198418024927378, -0.07877251505851746, 0.008058406412601471, -0.03573073074221611, 0.05924781784415245, -0.04657380282878876, -0.032428279519081116, -0.017281843349337578, -0.009992663748562336, 0.049302104860544205, -0.025014057755470276, ...
<p>I am new to regression analysis so please excuse my ignorance.</p> <p>I have collected 5 years of annual panel data, and I would like to regress this data on eviews but it is saying there is an insufficient amount of observations. Is there any way around this? I currently have 3 independent variables, 1 dependent a...
g63649
[ 0.01323646493256092, -0.011720897629857063, -0.012760828249156475, -0.03654402121901512, -0.0008250214741565287, 0.010518329218029976, 0.004987976048141718, -0.014950926415622234, -0.03533649817109108, -0.0263459961861372, 0.023215290158987045, 0.010619084350764751, -0.010689335875213146, ...
<p>I have a question concerning random variables. Let us assume that we have two random variables $X$ and $Y$. Let's say $X$ is Poisson distributed with parameter $\lambda_1$, and $Y$ is Poisson distributed with parameter $\lambda_2$. </p> <p>When you build the fracture from $X/Y$ and call this a random variable $Z$, ...
g63650
[ 0.038370706140995026, -0.03527025878429413, -0.037567317485809326, -0.05280164256691933, 0.05145224556326866, -0.019473761320114136, -0.06174889951944351, 0.007014730479568243, -0.024707825854420662, -0.034682147204875946, -0.03782602399587631, -0.006864848546683788, -0.015718501061201096, ...
<p>I'm fitting a linear regression model in R:</p> <pre><code>head(data) `x1` `x2` `y` 4.9711 32.70 0.2810632 6.756072 31.60 0.3115225 5.895213 56.50 0.4853171 1.951329 29.80 0.3010127 EDIT: fit &lt;- glm(y ~ x1 + x2,family = binomial(link = logit), data = ...
g63651
[ 0.028967704623937607, -0.05876638740301132, -0.02153037302196026, -0.042427197098731995, 0.037191133946180344, -0.009307925589382648, 0.02565038576722145, 0.011400732211768627, -0.032434165477752686, -0.043604809790849686, -0.00001508845070929965, -0.01329794991761446, 0.07913998514413834, ...
<p>I need to compare proportions of difference scores between 2 (unequal n) samples (males vs. females) on 2 different measures. I want to enter the difference scores into contingency table for chi-square type analysis. </p> <p>I subtract male-female scores for each of the 2 measures </p> <pre><code>R1C1 = Male"Yes"...
g63652
[ 0.035039931535720825, -0.0511765219271183, 0.005785023793578148, -0.07545667141675949, 0.0451456718146801, -0.028039230033755302, 0.001679594162851572, 0.00837948452681303, -0.01718667522072792, -0.002143724588677287, -0.010867576114833355, 0.007034965790808201, 0.04768224433064461, 0.0459...
<p>Here is the original confusion matrix: </p> <pre><code> | Yes | No | ----------------- The top right corner: False Negative Yes|1000 | 200 | The top left corner: True Positive ----------------- The bottom right corner:True Negative No|200 | 500 | The botto...
g13850
[ -0.010238250717520714, -0.03797269985079765, 0.008822968229651451, -0.08263228088617325, 0.020662231370806694, -0.11098425090312958, 0.050052084028720856, 0.010320289991796017, -0.022417036816477776, -0.03337065503001213, 0.009376093745231628, 0.04656487703323364, 0.06034158542752266, 0.06...
<p>My data is a sample of 3D axes collected over a curved surface.</p> <p>I want to know whether these axes have preferential directions relative to the surface: i.e. whether their direction is preferentially either within the plane of the surface, or perpendicular to the plane of the surface (as opposed to a uniform ...
g21428
[ 0.03462061285972595, -0.04423324763774872, 0.0028673168271780014, -0.037296123802661896, -0.01762644574046135, 0.029052142053842545, 0.0665949285030365, -0.02226267009973526, -0.0019468587124720216, 0.01436796598136425, 0.06331480294466019, 0.02113507315516472, 0.06224629655480385, 0.00264...
<p>By the title, you must instantly think that it's a geometric probability distribution (or perhaps binomial, by the story below) that I'm looking for, but my stats is failing me. Allow me to put this as a story:</p> <p>An office worker is given 13 phone numbers for technical support. Each phone number will reach one...
g63653
[ -0.013549688272178173, 0.06598688662052155, -0.02931608445942402, -0.02052871137857437, -0.010012224316596985, -0.008279914036393166, 0.018359191715717316, -0.028427042067050934, -0.02768893353641033, 0.00958644226193428, -0.007376520428806543, -0.027353916317224503, 0.043693579733371735, ...
<p>Following from <a href="http://stats.stackexchange.com/questions/16312/what-is-the-difference-between-confidence-intervals-and-hypothesis-testing">this question on the difference between confidence intervals and hypothesis testing</a>, I would love to have a simple example to better understand the the relationship b...
g40833
[ 0.04112215340137482, 0.01936059072613716, -0.009407722391188145, 0.031210603192448616, -0.006346592213958502, 0.04474540799856186, -0.008614682592451572, 0.01709914207458496, 0.0049932547844946384, -0.06687237322330475, 0.027427231892943382, 0.04154403880238533, 0.042311932891607285, -0.03...
<p>I am trying to automate a problem I usually solve by hand. </p> <p>I have a sensor that collects data from the field. Every 6 months or so, I have to do a calibration on that sensor by collecting <code>x</code> data points. Using a calibrated device, I measure the same data measured by the field sensor and I have t...
g21434
[ 0.02190823294222355, -0.034105122089385986, -0.00004557962165563367, -0.0333855114877224, 0.03873947262763977, -0.06700248271226883, 0.05398100987076759, 0.007343325763940811, -0.03964144363999367, -0.010642767883837223, -0.0014686561189591885, 0.016113342717289925, 0.08749590069055557, 0....
<p>I am really a novice in statistics and really need some help! I find here, or in any books answer to my problem. If I missed it, sorry about that and could you share the link with me, please?</p> <p>Here, is briefly described the background of my study:</p> <p>I have collected a set of 20 independent variables (du...
g63654
[ 0.0022082023788243532, -0.04734655097126961, -0.009445998817682266, -0.05816292390227318, -0.014292034320533276, -0.004637205041944981, 0.014591756276786327, 0.01880645751953125, 0.018984060734510422, -0.05675133690237999, -0.032630812376737595, 0.07023156434297562, 0.036733437329530716, -...
<p>I have a peculiar situation, I am conducting research and had a group of students participate in it. I had them scored on (property) $X$ and say $n_1$ people participated.</p> <p>After an intervention, I measured the same property $X$ but this time $n_2$ (where $n_2 &lt; n_1$) people participated.</p> <p>Now the c...
g63655
[ 0.004337035119533539, -0.010003491304814816, -0.0034049595706164837, -0.02633731998503208, 0.03808916360139847, -0.009626226499676704, 0.026892412453889847, -0.028357217088341713, 0.0035570014733821154, -0.026307033374905586, 0.02580139972269535, 0.029497789219021797, -0.02130952477455139, ...
<p>I am running some experiments in which I plot the values of some variable <em>y</em> (averaged over 4 runs) against some independent variable <em>x</em>. I also compare the effect of <em>z</em>. In other words:</p> <ul> <li>horizontal axis: <em>x</em></li> <li>vertical axis: <em>y</em> </li> <li>plots: one line for...
g63656
[ 0.017957352101802826, -0.02321903593838215, -0.025172444060444832, 0.013156117871403694, -0.009545738808810711, -0.013976114802062511, 0.03835730999708176, -0.005209652241319418, -0.046390485018491745, -0.03919356316328049, 0.05951641872525215, 0.029957205057144165, 0.03369180113077164, 0....