question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I've been working on SOMs and how to get the best clustering results.
One approach could be to try many runs and choose the clustering with the lowest within sum of squared errors.</p>
<p>However, I do not only want to initialize random values and have several tries, but also want to choose good parameters.
I have... | g65847 | [
0.00940234400331974,
0.008368078619241714,
-0.0033421118278056383,
-0.018004970625042915,
0.014476806856691837,
-0.003259234130382538,
0.021467017009854317,
-0.0011598870623856783,
-0.022408325225114822,
0.016960617154836655,
-0.00042498193215578794,
0.03401358053088188,
0.10475175827741623,... |
<p>I am doing some information extraction study on some data. We extract a "word" list from the data. And for each "word", it has a n dimensional feature vector in R ^n. Next, We want to rank the list according to a score. The question is, how can I combine all the feature values to build a score function for my rankin... | g24630 | [
-0.039575234055519104,
-0.004124112892895937,
0.006905381567776203,
-0.03164955973625183,
-0.02066374011337757,
-0.045017700642347336,
-0.040231913328170776,
0.030667277052998543,
-0.09138445556163788,
0.004493991378694773,
-0.014000079594552517,
-0.024716373533010483,
0.04525575414299965,
... |
<p>I'm the author of a new Baum Welch trainer using MapReduce for the Apache Mahout project (https://issues.apache.org/jira/browse/MAHOUT-627)</p>
<p>I'm looking for an example with a reasonably small data set which I can use to demonstrate the usage of the trainer I have developed.</p>
<p>Does anyone here know of an... | g24633 | [
-0.02578801102936268,
0.036491066217422485,
0.03403740003705025,
-0.062114544212818146,
-0.05666252598166466,
-0.06075359135866165,
-0.02208801358938217,
0.04272621124982834,
0.03166231885552406,
-0.055752772837877274,
-0.020048590376973152,
0.01085017528384924,
0.0806114450097084,
0.01529... |
<p>For regression problem, I have seen people use "coefficient of determination" (a.k.a R squared) to perform model selection, e.g., finding the appropriate penalty coefficient for regularization. </p>
<p>However, it is also common to use "mean squared error" or "root mean squared error" as a measure of regression ac... | g24634 | [
0.05308714881539345,
-0.054571203887462616,
0.010433873161673546,
0.013814744539558887,
0.044121112674474716,
-0.08895259350538254,
0.06549350917339325,
0.05154839903116226,
-0.007523863576352596,
0.015545004047453403,
-0.0021874543745070696,
0.037050798535346985,
0.044868916273117065,
-0.... |
<p>My data set relates to goods sold. I have a unit price, qty sold at that price and a number of other variable, such as sales person, geography, marketing support. the qty sold varies throughout any sampled period of time irrespective of price. It also 'appears' to vary more when the price is changed-as common sense ... | g37423 | [
-0.040519364178180695,
-0.015072273090481758,
-0.01715959422290325,
-0.04082593321800232,
0.0221176166087389,
-0.0419626347720623,
0.045596472918987274,
-0.01992339827120304,
0.007078330032527447,
-0.0256620142608881,
-0.008995934389531612,
0.021394142881035805,
0.003328875172883272,
0.039... |
<p>Let $(X_1,X_2,\ldots,X_n)$ be a random sample from $N(\mu,\sigma^2)$, where $\sigma$ is known. Find the power function of the test of significance of $H_0:\mu=\mu_0$ against $H_1:\mu\neq\mu_0$ . Also, show that power${}>{}$size. My first step is to define the critical region as $W=\{(x_1,x_2,\ldots,x_n):|\sqrt{n}... | g65848 | [
-0.004112921189516783,
-0.004690936300903559,
-0.02629307098686695,
-0.037970177829265594,
-0.0016792523674666882,
-0.03399531915783882,
-0.00960153341293335,
0.013691206462681293,
-0.020292963832616806,
-0.004045517183840275,
0.016924699768424034,
0.03366424888372421,
0.008905872702598572,
... |
<p>I have references that advised to consider a sample size of minimum 20 for data fitting distribution. </p>
<p>Is there any sense in this?</p>
<p>thanks</p> | g65849 | [
0.05629381537437439,
0.017283976078033447,
-0.016456197947263718,
-0.10338681191205978,
-0.05101633071899414,
0.02369450405240059,
-0.035358842462301254,
0.04539720341563225,
-0.046957287937402725,
-0.0480080209672451,
0.0206567645072937,
-0.027248701080679893,
0.007195511367172003,
0.0642... |
<p>It is my first question here, so my excuses if my contribution is naïve.</p>
<p>I'm facing a classification problem in which I have a minority class (~100 samples) labeled as "Positive", another class (~100-1000 samples) labeled as "Likely positive", and a third one (~3000 samples) labeled as "Unknown" or "Unlabele... | g65850 | [
-0.06027035042643547,
-0.05694974586367607,
0.0077052852138876915,
-0.06107078492641449,
0.02386563830077648,
-0.029523903504014015,
-0.005599628668278456,
0.055166568607091904,
-0.02783183380961418,
0.011100398376584053,
0.010514877736568451,
0.03207335248589516,
0.023938000202178955,
0.0... |
<p>Hi I am first year undergrad with math background, next year I will be starting a course in <a href="http://www.utstat.utoronto.ca/philip/courses/sta257/outline.html" rel="nofollow">introductory mathematical statistics at the University of Toronto</a>,
and the textbook the university uses, <em>Mathematical Statistic... | g49735 | [
0.052372612059116364,
-0.026166021823883057,
-0.005238186568021774,
-0.043860241770744324,
-0.030042171478271484,
0.031024789437651634,
0.007836348377168179,
-0.0009399488917551935,
-0.05132879689335823,
0.002597048645839095,
0.040453918278217316,
-0.0069016143679618835,
0.08773745596408844,... |
<p>I have more of a brainstorming type of question for statisticians and I would like to know what your thoughts are. I'll describe my data sets, so you can judge what type of statistical problem they involve. </p>
<p>I have two different language experiments: one was done with Spanish speakers and one was done with E... | g65851 | [
0.0169511865824461,
0.030725425109267235,
0.009182235226035118,
-0.018156442791223526,
0.03665171191096306,
-0.023361289873719215,
0.028448930010199547,
-0.041456177830696106,
-0.08440640568733215,
-0.004405500832945108,
0.014599473215639591,
0.026926226913928986,
0.04934890940785408,
0.00... |
<p>I would like some quantitative measure of the degree to which an observed categorical variable predicts mediates the effect of an experimentally controlled factor on a continuous DV. The situation is made more complex by the fact that the effects of the experimental factor are interactions, not main effects. I am no... | g65852 | [
-0.03733234480023384,
-0.046414460986852646,
0.007361060474067926,
-0.058821484446525574,
0.03417762741446495,
-0.02565567009150982,
0.08636543154716492,
0.07126925885677338,
-0.0023243047762662172,
-0.017412196844816208,
0.0018007957842200994,
0.021467121317982674,
0.047117140144109726,
0... |
<p>In <a href="http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf" rel="nofollow">An Empirical Comparison of Supervised Learning Algorithms</a> (ICML 2006) the authors (Rich Caruana and Alexandru Niculescu-Mizil) evaluated several classification algorithms (SVMs, ANN, KNN, Random Forests, Decision Tree... | g44732 | [
0.038256313651800156,
-0.05674785003066063,
0.019016122445464134,
0.010217979550361633,
-0.009085179306566715,
-0.0637703388929367,
-0.06311946362257004,
0.054404281079769135,
-0.004129794891923666,
0.03263430297374725,
0.017551220953464508,
0.05228104442358017,
0.07376796752214432,
0.0184... |
<p>Suppose a sampling mechanism is used to draw a sample ($y_i$ for $i \in \{1,...,n\}$) of size $n$ from a population of size $N$ with probabilities $\pi_j$ where $j \in \{1,...,N\}$. Standard survey sampling tells us that we can estimate the population mean with either the horvitz-thompson estimator:
$$
\hat{y}_{HT} ... | g65853 | [
-0.02279430627822876,
-0.030495379120111465,
0.001528874272480607,
-0.010315611027181149,
0.0004939384525641799,
0.011278806254267693,
-0.0407220758497715,
-0.03194749727845192,
-0.032422538846731186,
0.01451121736317873,
0.013981775380671024,
-0.020937403663992882,
0.019859684631228447,
-... |
<p>I am running an <code>xtivreg, re</code> and an <code>xtoverid</code> afterwards.
My understanding of the help file and what I found online is that <code>xtoverid</code> basically compares IV-RE with FE (augmented RE).
The test statistic I get is tiny and therefore p-value massive (0.8 to 0.9).</p>
<p>My plan was ... | g33353 | [
0.02425692044198513,
-0.016240710392594337,
-0.012871449813246727,
0.008444097824394703,
0.04258212819695473,
-0.011626745574176311,
-0.01838880591094494,
0.021342553198337555,
-0.04379483312368393,
0.0011790799908339977,
-0.008998347446322441,
0.03229457885026932,
0.0023027691058814526,
-... |
<p>I need suggestions for how to calculate the $n$ required for 80% and 90% power for >30% change from baseline ($T_0$) at $T_1$ or $T_2$, drug vs. placebo, 2:1 ratio; 20% CV in test; factors: subject, treatment, time, and two Gaussian covariates: one of the covariates is the baseline measurement of the endpoint. Pleas... | g218 | [
-0.010233082808554173,
-0.03378680348396301,
-0.01786835491657257,
-0.026890400797128677,
-0.01949494704604149,
-0.04830753803253174,
0.00813274085521698,
0.004454373382031918,
-0.03758615627884865,
0.09004589170217514,
0.04454679414629936,
0.03867148607969284,
0.008106080815196037,
0.0082... |
<p>I'm having some problems with this question, and was hoping someone here could help.</p>
<blockquote>
<p>Let $X_1,\ldots,X_2$ be $n$ determinations of a physical constant
$\theta$. Consider the model</p>
<p>$X_i = \theta + e_i,$ $~~~~~~i = 1,...n$</p>
<p>and assume</p>
<p>$e_i = \alpha e_{i-1} ... | g65854 | [
0.015633221715688705,
-0.006214925087988377,
-0.01585863158106804,
0.022775975987315178,
0.0856359675526619,
-0.024026036262512207,
0.01765667460858822,
0.04469051584601402,
-0.053865209221839905,
0.05086664482951164,
-0.04152172431349754,
0.02288944274187088,
-0.002503911964595318,
0.0365... |
<p>I was wrestling with stationarity in my head for a while... Is this how you think about it? Any comments or further thoughts will be appreciated.</p>
<blockquote>
<p>Stationary process is the one which
generates time-series values such that
distribution mean and variance is kept
constant. Strictly speaking,... | g65855 | [
0.07791581749916077,
-0.01722954958677292,
0.006581169553101063,
-0.009570515714585781,
0.03189942613244057,
0.016380345448851585,
0.0494498685002327,
0.020143888890743256,
-0.021935489028692245,
-0.0342336967587471,
0.0028613884933292866,
-0.003087759716436267,
-0.00015796776278875768,
0.... |
<p>I'm trying to analyze effect of Year on variable logInd for particular group of individuals (I have 3 groups). <strong>The simplest model:</strong></p>
<pre><code>> fix1 = lm(logInd ~ 0 + Group + Year:Group, data = mydata)
> summary(fix1)
Call:
lm(formula = logInd ~ 0 + Group + Year:Group, data = mydata)
Re... | g24646 | [
-0.028178690001368523,
-0.06603153049945831,
-0.004211136139929295,
0.028239035978913307,
-0.017841946333646774,
0.041858281940221786,
0.08233831822872162,
0.04062802344560623,
-0.031272903084754944,
-0.016766024753451347,
-0.014111220836639404,
0.06818094104528427,
0.014925172552466393,
-... |
<p>I am building a simple multinomial logit (MNL) model. I've discovered that the particular variable that I am testing ("pctLS") causes the model to be "unidentified," but I am not sure how to correct the variable so that it no longer creates this problem. </p>
<p>To be specific, the algorithm should converge to a po... | g37100 | [
-0.004440936725586653,
-0.05193096399307251,
-0.007224856410175562,
-0.03367775306105614,
-0.0015339736128225923,
-0.0018710988806560636,
-0.018814215436577797,
0.05313749238848686,
-0.03636183589696884,
0.028685247525572777,
-0.10886053740978241,
0.020319368690252304,
0.09454642981290817,
... |
<p>Is there a way to use logistic regression to classify multi-labeled data? By multi-labeled, I mean data that can belong to multiple categories simultaneously.</p>
<p>I would like to use this approach to classify some biological data. </p> | g48839 | [
-0.0015029906062409282,
0.01119999773800373,
0.01913030818104744,
-0.023870401084423065,
0.033352237194776535,
-0.042029622942209244,
-0.036346226930618286,
-0.02558644860982895,
-0.023588106036186218,
-0.009518561884760857,
0.00790311023592949,
0.012530100531876087,
0.058217767626047134,
... |
<p>I'm currently using Gaussian distribution as a <a href="http://www.iue.tuwien.ac.at/phd/heitzinger/node27.html">mutation operator</a> for my genetic algorithm. However, I only want to obtain values between -1 and 1. I also don't wish to truncate my Gaussian distribution, which leaves me with lots of 1's and -1's.</p... | g65856 | [
-0.02012740634381771,
0.013434250839054585,
-0.019145000725984573,
-0.030812624841928482,
-0.004909835290163755,
0.00004040693602291867,
0.001307634636759758,
0.01918865740299225,
-0.05925702676177025,
0.0013639044482260942,
0.011988869868218899,
0.023455025628209114,
0.05227946862578392,
... |
<p>I am trying to identify new patterns after analyzing a number of URLs. So let's say, I am investigating the hypothetical website Yoohle.com and their URLs have the following structure. </p>
<ul>
<li>domain = yoohle.com</li>
<li>q= search phrase</li>
<li>lan= language used</li>
<li>pr= partner_id</li>
<li>br= browse... | g65857 | [
-0.006389097310602665,
0.05146036297082901,
-0.03292068839073181,
-0.03286249190568924,
0.0069223567843437195,
-0.1029893159866333,
0.028765706345438957,
0.00800330564379692,
-0.0068178013898432255,
-0.036557286977767944,
0.0072007570415735245,
0.018536418676376343,
0.11130822449922562,
0.... |
<p>I (or rather, my girlfriend whom I'm trying to convert to free software) am just getting started with R.</p>
<p>She wants to do a two-way ANOVA on her data on mussels and the threads they release in self-defense. Her experiment has four conditions and in each condition two sets of data were collected (number of th... | g65858 | [
0.019780410453677177,
-0.004686242900788784,
0.0032112994231283665,
-0.07386647164821625,
-0.01059301383793354,
-0.025098510086536407,
0.042742691934108734,
-0.03915175795555115,
-0.006045117042958736,
-0.008406774140894413,
-0.09108735620975494,
0.03824710473418236,
0.0399053730070591,
0.... |
<p>I was browsing through <a href="http://www.math.umass.edu/~lavine/Book/book.html" rel="nofollow">http://www.math.umass.edu/~lavine/Book/book.html</a> and found the book to be really exhaustive in terms of what I need it for but I was concerned about it's prerequisites.</p>
<p>I have a background in Calculus (I/II/I... | g65859 | [
0.04530877619981766,
0.00520163681358099,
0.006300035864114761,
-0.06039354205131531,
-0.021525857970118523,
0.06507532298564911,
0.057628389447927475,
0.019659271463751793,
-0.02306128479540348,
0.01973056234419346,
0.02371177263557911,
0.022434785962104797,
0.10304591059684753,
-0.005440... |
<p>Hi I know why feature scaling is preferred in SVM, I have two questions:
1-does anyone know of legit articles of books explaining it. I am writing my thesis and I need references. It doesnt have to be for SVM specific, even if it is for Neural Networks or other supervised learning algorithms it will be appreciated.<... | g65860 | [
0.06517113745212555,
0.05206175148487091,
0.013744429685175419,
0.015556154772639275,
-0.005908386781811714,
0.0018286904087290168,
-0.007972262799739838,
0.10015656054019928,
-0.05222976952791214,
0.03906931355595589,
-0.0306477639824152,
-0.007132315542548895,
0.10067972540855408,
0.0242... |
<p>I have 60 patients with squint classified according to age group into 6 categories and according to prognosis on their treatment into improved and same. </p>
<p>If I want to see if there is a difference among the 6 age groups in regard to prognosis what test statistic should I use?</p>
<p>I tried to use chi square... | g65861 | [
-0.02462175115942955,
-0.019711710512638092,
0.00915447436273098,
-0.04352294281125069,
-0.009500745683908463,
-0.04127898067235947,
0.03231453895568848,
0.01087686326354742,
0.01726299524307251,
0.008342629298567772,
0.0621781200170517,
0.015948116779327393,
0.043729595839977264,
-0.00082... |
<p>Suppose we have a baseline exposure group and 2 other exposure groups for a case control study. Suppose the odds ratio for the first exposure is $1.5$ and the odds ratio for the second exposure is $1.8$. Does this mean that cases are $1.5$ times as likely to have exposure 1 than the controls? Also does this mean tha... | g24653 | [
0.03711424767971039,
-0.022124361246824265,
0.00996424350887537,
0.020984886214137077,
0.012780444696545601,
-0.017499925568699837,
0.038305386900901794,
-0.00019063120998907834,
0.036004822701215744,
0.0018262870144098997,
-0.00014009326696395874,
0.000011382644515833817,
0.0010132603347301... |
<p>I'm trying to perform a Box-Cox transformation on some financial data (SPY).
The BoxCox.ar function (in the package <code>TSA</code>) gives me the following error:</p>
<pre><code>Error in solve.default(res$hessian * length(x)) :
Lapack routine dgesv: system is exactly singular: U[2,2] = 0
</code></pre>
<p>Here'... | g65862 | [
-0.009497939608991146,
-0.017569202929735184,
-0.010065747424960136,
-0.07604555785655975,
-0.036788459867239,
-0.0212087444961071,
0.035966694355010986,
0.042744044214487076,
-0.06698887050151825,
-0.04756323993206024,
0.004611780866980553,
0.047117866575717926,
0.08730628341436386,
-0.00... |
<p>Players of a certain TRPG have characters with 6 ability scores, each ability score ranging from 3-18. One method of generating those is by rolling 4d6 drop lowest for each of the scores. That means four six-faced-dice are rolled, and the three highest results are added.</p>
<p>What's the expected highest differenc... | g65863 | [
0.0061203548684716225,
-0.0303068608045578,
-0.020086092874407768,
-0.03924695402383804,
-0.009500142186880112,
-0.023973338305950165,
0.04725603759288788,
-0.005687213968485594,
-0.028090424835681915,
-0.02273249812424183,
-0.056709323078393936,
-0.010934959165751934,
0.04330844804644585,
... |
<p>I have several distributions (10 distributions in the figure below). <img src="http://i.stack.imgur.com/Tcz9b.jpg" alt="distributions"></p>
<p>In fact these are histograms: there are 70 values on the x-axis which are the sizes of some particles in a solution and for each value of x the corresponding value of y is t... | g24657 | [
0.07662041485309601,
0.04701594263315201,
-0.031196102499961853,
-0.07314208894968033,
-0.008602400310337543,
-0.016947485506534576,
-0.04641300439834595,
-0.011683267541229725,
-0.04429566115140915,
-0.016273731365799904,
0.035735830664634705,
0.007834945805370808,
0.08657139539718628,
0.... |
<p>I am currently trying to classify 6 class of facial expression using SVM. I am using MATLAB and LIBSVM to do my classification.</p>
<p>The problem i face is the pred label below produces 0 and 1. It treats it as binary classifer. I am able to do multi-class svm but there is one more step that is voting or sum-pooli... | g49736 | [
-0.027307745069265366,
0.006742506287992001,
0.012948557734489441,
0.023213334381580353,
0.017248179763555527,
-0.02574772946536541,
0.004634174518287182,
0.03725934401154518,
-0.012063921429216862,
-0.002672516508027911,
-0.031135495752096176,
0.04628920555114746,
0.07610180974006653,
0.0... |
<p>Clarify why the prediction for a female in the example below in related topics (taken from a <a href="http://stats.stackexchange.com/questions/36305/why-do-regression-coefficients-change-when-excluding-variables">question</a> by @MsSnowy) do we use the new calculations and not the original lm:</p>
<p><code>fitted.m... | g65864 | [
0.011287392117083073,
-0.06796836853027344,
0.005940073169767857,
-0.011285862885415554,
-0.0033459088299423456,
-0.011390040628612041,
0.045715831220149994,
-0.027185169979929924,
-0.05724986270070076,
0.0070647899992764,
-0.05571592226624489,
0.06302592903375626,
0.04420832172036171,
0.0... |
<p>I have a time series of data with N=14 counts at each time point, and I want to calculate the Gini coefficient and a standard error for this estimate at each time point.</p>
<p>Since I have only N=14 counts at each time point I proceeded by calculating the jackknife variance, i.e. $\operatorname{var}(G) = \frac{n-1... | g65865 | [
-0.02007068693637848,
0.03379655256867409,
-0.0020818649791181087,
-0.016133032739162445,
-0.05939637869596481,
-0.03542093560099602,
0.015783540904521942,
-0.057205215096473694,
-0.06268390268087387,
0.029751403257250786,
-0.03127998113632202,
0.005499959457665682,
0.028626978397369385,
0... |
<p>I'm trying to formally write out the problem: <a href="http://stats.stackexchange.com/questions/18917/light-bulb-color-problem">Light bulb color problem</a> when I come up with the following equation </p>
<p>$\sum_{i=0}^{k-1}{C}_{2k-1}^{2k-1-i}{p}^{2k-1-i}{(1-p)}^{i}=\sum_{i=0}^{k-1}{C}_{2k}^{2k-i}{p}^{2k-i}{(1-p)}... | g45833 | [
-0.02723361738026142,
0.040320515632629395,
-0.017859095707535744,
-0.040266942232847214,
0.014834195375442505,
-0.07330784946680069,
0.03845180571079254,
0.010499956086277962,
0.004314187914133072,
0.00010898325854213908,
-0.05430082604289055,
0.05413096770644188,
0.029872676357626915,
0.... |
<p>Is it safe to run a MCMC by interpolating in tabulated data of a model? For background, I have output of a model that involves a set of coupled non-linear differential equations. Calculating models on the fly is slow, so I've tried using a MCMC simulation where the function call is an interpolation in a grid of pr... | g65866 | [
0.02458285726606846,
-0.008025484159588814,
0.03490198403596878,
-0.03974515199661255,
-0.04103865846991539,
-0.06754425168037415,
0.046110138297080994,
0.005649235099554062,
-0.08299700170755386,
-0.028479211032390594,
0.004133983515202999,
0.011166652664542198,
0.04407653957605362,
-0.00... |
<p>I know that the SVM is a binary classifier. I would like to extend it to multi-class SVM. Which is the best, and maybe the easiest, way to perform it? </p>
<p>code: in MATLAB</p>
<pre><code> u=unique(TrainLabel);
N=length(u);
if(N>2)
itr=1;
classes=0;
while((classe... | g49736 | [
-0.00274564977735281,
0.031343184411525726,
0.02718210592865944,
0.03073715604841709,
0.023124272003769875,
-0.02111472561955452,
-0.02577488124370575,
0.06560356169939041,
-0.04769095405936241,
-0.01858173869550228,
0.027935797348618507,
0.002892598509788513,
0.05734095349907875,
0.053438... |
<p>I have a two part question;</p>
<p>First Part:</p>
<p>I have an urn with 20 balls, 2 of those balls are purple, and I pull out 6 balls at random. I witness 100 realizations of this process. </p>
<p>Given the observed frequency at which I drew purple balls, how do I determine if I am really pulling balls out at ra... | g65867 | [
-0.014179034158587456,
0.001315401983447373,
-0.00022549214190803468,
-0.09078023582696915,
0.005375010892748833,
-0.008428280241787434,
0.04812253266572952,
0.029222549870610237,
0.01925935037434101,
-0.032679926604032516,
-0.07008349150419235,
-0.026635194197297096,
0.06671290844678879,
... |
<p>Suppose one has two independent samples from the same population, and different methods were used on the two samples to derive point estimate and confidence intervals. In trivial cases a sensible person would just pool the two samples and use one method to do the analysis, but let's suppose for the moment that diffe... | g65868 | [
0.03695087879896164,
-0.03223571926355362,
0.00808514654636383,
0.0045078168623149395,
-0.007269095163792372,
0.06900591403245926,
-0.04355698451399803,
0.0005844503757543862,
-0.05826474353671074,
-0.0015338776865974069,
0.03867886960506439,
0.030420759692788124,
0.0299551822245121,
-0.01... |
<p>I have a multivariate regression, which includes interactions. For example, to get the estimate of the treatment effect for the poorest quintile I need to add the coefficients from the treatment regressor to the coefficient from the interaction variable (which interacts treatment and quintile 1). When adding two coe... | g24668 | [
-0.0022802052553743124,
-0.0764031782746315,
-0.009355229325592518,
-0.029880007728934288,
0.06013749912381172,
-0.04992366209626198,
-0.003644957672804594,
-0.007640829309821129,
-0.026237662881612778,
-0.027205204591155052,
-0.03752044588327408,
0.01942204311490059,
0.03066134825348854,
... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/43471/examples-of-bayesian-and-frequentist-approach-giving-different-answers">Examples of Bayesian and frequentist approach giving different answers</a> </p>
</blockquote>
<p>What are some practical exampl... | g49737 | [
0.004213071893900633,
0.012656528502702713,
0.01140335202217102,
-0.007477365899831057,
0.01702219247817993,
-0.03634144365787506,
-0.003437918145209551,
-0.0055959951132535934,
0.008972576819360256,
0.018808932974934578,
0.05219722539186478,
-0.006297250743955374,
0.08423590660095215,
0.0... |
<p>I often find myself asking questions like, "I know this variable $x$ lies in $(0,1)$ and most of the mass lies in $(0,.20)$ and then declines continuously towards 1. What distribution can I use to model it?"</p>
<p>In practice, I wind up using the same few distributions over and over again simply because I know t... | g49785 | [
0.015349834226071835,
0.008913139812648296,
-0.030138462781906128,
-0.03509317338466644,
0.005738574080169201,
-0.04432530328631401,
0.01642858423292637,
0.0240089762955904,
-0.04640037938952446,
-0.06406151503324509,
-0.013870771043002605,
-0.07469319552183151,
0.07979624718427658,
0.0085... |
<p>We want to predict how many points per game LeBron James is going to get per game. Assume there is some underlying theta that does not change game to game, that predicts how many points he will get. For previous information, we have NBA league averages, and we have Lebron James points per game for previous years and... | g24670 | [
0.05495327711105347,
-0.005992915015667677,
-0.000009279334335587919,
-0.07249315083026886,
-0.003681020811200142,
-0.03299339488148689,
0.03275495767593384,
0.039561279118061066,
-0.05736575275659561,
0.010328924283385277,
-0.02174295485019684,
0.041150908917188644,
0.042903169989585876,
... |
<p>I vaguely recall from grad school that the following is a valid approach to do a weighted sampling without replacement:</p>
<ol>
<li>Start with an initially empty "sampled set".</li>
<li>Draw a (single) weighted sample with replacement with whatever method you have. </li>
<li>Check whether you have already picked i... | g10957 | [
0.04367963597178459,
-0.04134390130639076,
0.0006360159022733569,
-0.08994316309690475,
-0.040771711617708206,
-0.0472538024187088,
-0.01369419414550066,
0.005445763003081083,
-0.044308945536613464,
0.008453436195850372,
-0.02330143377184868,
0.013153009116649628,
0.014906875789165497,
0.0... |
<h2>Motivation</h2>
<p>I am interested on using R to do data analysis on a considerable amount of data. Having to plot each time I want to observe if it fits any particular distribution by eyeball (which can be misleading), and recall in memory how the shape looks like (or compare, say, on a book). </p>
<p>As a progr... | g65869 | [
-0.008878613822162151,
0.011148077435791492,
-0.011558744125068188,
-0.05158396065235138,
-0.03474099934101105,
-0.04523643106222153,
0.05392804741859436,
0.04479582980275154,
-0.08678442984819412,
0.005149955861270428,
0.01908406801521778,
-0.03402549773454666,
0.12043436616659164,
0.0331... |
<h2>Definitions</h2>
<p><strong>Open Source Project</strong>:</p>
<blockquote>
<p>In short (and roughly described, only to the purpose of clarification) open source projects allow me to have access to the code of a certain 'program'. </p>
</blockquote>
<h2>Motivation and Background (so I can understand your answer... | g65870 | [
0.03264462202787399,
0.02066253311932087,
0.0050310492515563965,
-0.020905615761876106,
-0.023449040949344635,
0.013584229163825512,
0.018006622791290283,
0.01673819124698639,
-0.034738875925540924,
-0.019463876262307167,
0.020008854568004608,
0.038577716797590256,
0.03013465739786625,
-0.... |
<p>Suppose I have a conditional discrete distribution $P_{M|A}(m,a)$. If I take sum over $m$, i.e. $\sum_{m}P_{M|A}(m,a)$, do I get $f_A(a)$, where $f_A(a)$ is the pmf of the random variable A?</p> | g65871 | [
0.023555058985948563,
-0.011717905290424824,
-0.005739605985581875,
-0.043035756796598434,
-0.030849728733301163,
-0.06937607377767563,
-0.0019479754846543074,
-0.01933395303785801,
0.0234514307230711,
-0.08173592388629913,
-0.052916377782821655,
-0.042452652007341385,
0.009279388003051281,
... |
<p>Suppose I have 5 years of weekly sales data for a particular product. I also have other variables such as weekly unemployment rate, weekly coupon rates, and percentages of marketing amount spent on internet, TV, and mail advertising. Suppose I want to determine whether season has an effect on sales. Would it be best... | g65872 | [
-0.014357284642755985,
-0.02036479115486145,
-0.0056073544546961784,
-0.04042766988277435,
-0.0427476167678833,
-0.02592562884092331,
0.06027839332818985,
-0.02027079649269581,
0.012421359308063984,
0.005979308858513832,
0.02168351411819458,
0.043285664170980453,
0.0412016361951828,
0.0326... |
<p>I have attached an image of a subset of data consisting of snow measurements (D1-D6) taken at unique locations (Site1-Site25) over the course of several years. Each measurement was taken at the same location each time, once a month for 2 years. I'm trying to convert these measurements of snow depth into a single var... | g24674 | [
-0.03872762247920036,
-0.006425732281059027,
-0.0025016481522470713,
-0.09886034578084946,
-0.019976478070020676,
-0.019238539040088654,
0.04068739712238312,
0.02475748583674431,
-0.025855982676148415,
-0.019019432365894318,
-0.0019366878550499678,
0.04146648570895195,
0.03798072412610054,
... |
<p>I fitted a logistic regression model with some smoothing functions, and the software made beautiful plots for them. Here is one example:</p>
<p><img src="http://i.stack.imgur.com/caGUb.png" alt="enter image description here"></p>
<p>My main concern is that there is no reference level in the continuous variable, so... | g65873 | [
0.011317380703985691,
-0.07803989201784134,
0.009459713473916054,
-0.045361846685409546,
0.0013714554952457547,
-0.006948479451239109,
0.05861176922917366,
0.017439547926187515,
-0.08387711644172668,
0.01522335410118103,
-0.005276137497276068,
0.028482915833592415,
0.09432083368301392,
0.0... |
<p>I am applying Neuro fuzzy system for classifiying objects. I found only a single paper <strong>"Rough-Neuro-Fuzzy System with MICOG Defuzzification"</strong> and it is very hard to follow how the output which is the class is defuzzified and the interpretation of the defuzzified class.</p>
<p>For example: If object{... | g24677 | [
-0.024294748902320862,
0.017828406766057014,
0.007592448964715004,
0.027994241565465927,
0.01565895415842533,
-0.03310762345790863,
0.013541125692427158,
0.034029796719551086,
-0.012406713329255581,
-0.016838528215885162,
-0.05696123465895653,
0.012338122352957726,
0.049422405660152435,
0.... |
<p>I apologize in advance, I'm new to statistics. I have a large (millions) dataset (the US Census American Community Survey) with 286 attributes. I've calculated the mean, variance and standard deviation for each attribute, and I would like to order them by "variability" (roughly, that is - if the concept I'm drivin... | g65874 | [
0.008071300573647022,
0.016541549935936928,
-0.023596517741680145,
-0.04515761882066727,
-0.0302704069763422,
-0.0454774871468544,
0.012354465201497078,
0.023554541170597076,
-0.012508466839790344,
0.009512540884315968,
0.010242779739201069,
0.0010891281999647617,
0.03532157838344574,
-0.0... |
<p>I want to test the effect of a set of predictors (ecological and morphological factors) on a categorical response variable (an animal behaviour).
As far as I've read, random forests do not make assumptions about data independence. Therefore, can I use species in my analysis disregarding their relatedness, that is, ... | g65875 | [
0.0025635238271206617,
-0.012149526737630367,
0.01611347682774067,
-0.04362015426158905,
-0.0004778438888024539,
-0.01976475492119789,
0.01103455200791359,
0.006894780322909355,
-0.019032711163163185,
-0.007278613280504942,
-0.0034362582955509424,
0.02303202450275421,
0.049747567623853683,
... |
<p>I'm fairly new to statistics and I'm still trying to figure out the best way to analyse the data I have. The experiment has 2 groups of participants who perform 2 repetitions of a task that consists of 5 stages. All participants completed both repetitions for all stages, but one group had 8 participants while the ot... | g65876 | [
-0.027565713971853256,
-0.0691416785120964,
-0.008283360861241817,
-0.03959091380238533,
-0.008019840344786644,
0.0023630678188055754,
0.06462312489748001,
-0.03863605484366417,
-0.03282391279935837,
0.021933507174253464,
-0.008409971371293068,
0.006609347648918629,
-0.030044453218579292,
... |
<p>My main goal is to compute cepstral coefficients in R from an ACF vector (Auto-Coorelation function vector with discrete time-step). Correct me if I am wrong in terminology or whatever as I am not a statistician/signal-processor. My first question will be</p>
<ul>
<li>Are the elements of an ACF vector i.e. the auto... | g65877 | [
0.012862540781497955,
-0.04593038558959961,
0.0134208332747221,
-0.058545567095279694,
0.01673346757888794,
-0.0914977639913559,
0.05807581543922424,
0.029848437756299973,
-0.03234311193227768,
-0.01906662993133068,
-0.019006814807653427,
0.040006835013628006,
0.05228350684046745,
-0.02406... |
<p>I want to build a linear model to predict a scalar output from a vector of noisy scalar variable measurements.</p>
<p>I have two separate training data sets. One has output data and corresponding exact variable measurements. The other has exact variable measurements and corresponding noisy variable measurements. ... | g65878 | [
0.021078312769532204,
-0.09077400714159012,
0.007413988932967186,
-0.01777629740536213,
-0.010846341960132122,
0.00046353437937796116,
0.040568988770246506,
0.024856500327587128,
-0.03371860459446907,
-0.021696364507079124,
-0.015052626840770245,
-0.0017263760091736913,
0.03156895190477371,
... |
<p>I am asking another question (as each one is a new issue and I am trying to get these models run). However I don't want to become a nuisance either. However I ran the following and wonder whether anyone could see what I have done wrong. I know I am comparing a lot of factors but really want to find out which ones re... | g65879 | [
-0.0023783263750374317,
-0.06738343834877014,
-0.011230548843741417,
-0.059413064271211624,
0.07270984351634979,
0.0007541785598732531,
0.04751891642808914,
-0.04749647527933121,
-0.04839136824011803,
-0.03704872727394104,
0.005257934797555208,
0.00688501400873065,
0.092862568795681,
0.035... |
<p>I do not know anything about statistics. I am a software engineer.</p>
<p>I had a question in my mind and I think here is the place to get my answer.</p>
<p>Suppose that I have data for 3 months. The data shows my visitors on a daily basis. Is there a possible way to know how many visitors I will have in e.g. 6 mo... | g49739 | [
-0.009244601242244244,
0.045553117990493774,
-0.010143806226551533,
-0.021226217970252037,
-0.029326485469937325,
0.008694757707417011,
0.05157388001680374,
-0.020916752517223358,
-0.02808661200106144,
-0.07362009584903717,
0.014077521860599518,
0.03220144659280777,
0.06712064146995544,
-0... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/25094/how-to-interpret-regression-coefficients-for-a-variable-with-takes-positive-and">How to interpret regression coefficients for a variable with takes positive and negative values?</a> </p>
</blockquote>
... | g49738 | [
0.001749458722770214,
-0.060826726257801056,
-0.02384430542588234,
0.01863846182823181,
0.04514935612678528,
-0.020788079127669334,
0.00264759361743927,
0.04288556054234505,
-0.011404013261198997,
-0.05665470287203789,
-0.0032296061981469393,
0.02757786028087139,
0.016535595059394836,
-0.0... |
<p>I have 4 questions in a survey with Likert-style answers (i.e. 1–5) – and the participants have also answered the demographic questions (country and study-years) – which test do I need to find if the demographics, i.e. country and study-years, have each affected answers to each of the questions significantly? Many t... | g65880 | [
0.0000020104121176700573,
0.00010866775119211525,
-0.0005602819728665054,
0.014707728289067745,
0.0054560452699661255,
0.026333993300795555,
0.05577676370739937,
-0.014918811619281769,
0.030536996200680733,
0.008183538913726807,
0.02321874350309372,
0.01823289319872856,
0.03754347190260887,
... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/25181/is-there-a-way-to-predict-future-change-based-on-data">Is there a way to predict future change based on data?</a> </p>
</blockquote>
<p>I do not know anything about statistics. I am a software engine... | g49739 | [
-0.008623548783361912,
0.03158080205321312,
-0.003022941295057535,
-0.01665702648460865,
-0.046717848628759384,
-0.008562966249883175,
0.03803320229053497,
-0.0035217993427067995,
-0.02979537658393383,
-0.05583290755748749,
0.024420175701379776,
0.05607188493013382,
0.08527413755655289,
-0... |
<p>Say I have some data, where a dependent variable, <code>dv</code>, is a function of some independent variable, <code>iv</code>, and a categorical predictor, <code>cat</code>. Here are some example data below generated in R:</p>
<pre><code>a<-c(1:100)
err<-rnorm(100,sd=30)
b<-a + err
c<-a + err + 20
cat1... | g24690 | [
0.024159204214811325,
-0.01748822070658207,
-0.01090169046074152,
-0.03511254861950874,
0.01737152226269245,
-0.015504434704780579,
0.04146238788962364,
0.03904559463262558,
-0.0762711688876152,
0.006262051872909069,
-0.008498254232108593,
0.041402604430913925,
0.07677718251943588,
0.01139... |
<p>We have bivariate observations {($X_i, Y_i$), i=1,2,...n}. We are interested in testing if they are uncorrelated. One test is based on $r$ (correlation coefficient): $r\sqrt{\frac{n-2}{1-r^2}}\sim t_{n-2}$. Another is based on fitting a regression model $Y_i = a+b X_i+e_i$ and testing for b=0. Are both the tests ide... | g24691 | [
0.03860175237059593,
-0.04067029431462288,
0.0072596571408212185,
-0.015679359436035156,
0.016322065144777298,
-0.01592377759516239,
0.07817725837230682,
-0.0469738133251667,
-0.01971900463104248,
-0.02727489359676838,
0.045885078608989716,
0.032706230878829956,
-0.00662848399952054,
-0.00... |
<p>This is a pretty basic question. However, I read that the training score isn't useful in machine learning.</p>
<p>From what I can tell, the training score only tells us if we have an overfit model. [E.g. if we have a training score of 100, something probably went wrong]. </p>
<p>But are there any other reasons to ... | g24692 | [
0.0012155779404565692,
0.0445462167263031,
0.040681686252355576,
-0.03066885843873024,
0.0061453222297132015,
-0.025957496836781502,
0.019198056310415268,
0.062135543674230576,
-0.04827263951301575,
-0.06466509401798248,
-0.05669359862804413,
0.02083832398056984,
0.03545990213751793,
-0.00... |
<p>I think I have a serious misunderstanding of the Fast Fourier Transform. Currently, I'm using ROOT to try to analyze some data, and the Fast Fourier Transform (FFT) function applies only to histograms.</p>
<p>Why does this make sense? How can one get an accurate transform knowing only the values which were measured... | g33683 | [
0.05404272675514221,
-0.008188316598534584,
-0.004692261107265949,
-0.04239697754383087,
0.05796889215707779,
-0.06290175765752792,
0.0038316852878779173,
0.02587856911122799,
-0.01948748715221882,
-0.08932973444461823,
-0.004615688230842352,
-0.0029720827005803585,
0.03185246139764786,
0.... |
<p>Has the parameter $\displaystyle \frac{1}{\sqrt{2(n-1)}}$ a name? $n=\text{number of observations}$</p> | g65881 | [
-0.027679912745952606,
0.02437889203429222,
-0.04297006502747536,
-0.014087090268731117,
0.036302827298641205,
-0.037771258503198624,
0.07416249066591263,
-0.0516241155564785,
0.022116346284747124,
-0.008022495545446873,
0.006421862170100212,
0.0075833359733223915,
0.02678569033741951,
0.0... |
<p>I have to test the performance of Random Forest on the same dataset (text classification) with about 118.000 instances of which about 1/3 is used for training and 2/3 is used for testing. The division is given, so I cannot modify either the test or the training set.</p>
<p>I need to conduct an investigation about w... | g12353 | [
-0.013919118791818619,
-0.025939103215932846,
0.0038667875342071056,
-0.028700610622763634,
0.011212565004825592,
-0.07782208919525146,
0.013891021721065044,
0.025995470583438873,
-0.03115442767739296,
-0.014172572642564774,
0.03735553100705147,
0.00035909184953197837,
0.05886173993349075,
... |
<p>I have a binary classification problem, and I use method A and method B to extract features, F1 and F2, for this problem from dataset X. Now, I train two models, y1 and y2, separately on the two extracted feature sets. Concretely:</p>
<pre><code>p(y1 | F1) = ...
p(y2 | F2) = ...
</code></pre>
<p>Now I chain them t... | g65882 | [
0.012810729444026947,
-0.011664594523608685,
0.022890577092766762,
-0.019001048058271408,
0.044831208884716034,
-0.0732521116733551,
0.03884981572628021,
0.0010541154770180583,
-0.08599123358726501,
-0.033079806715250015,
-0.036147769540548325,
0.058040469884872437,
0.007464972324669361,
0... |
<p>When we are comparing two models against some data, will we obtain the same (set of) posterior odds for the models both when we use the Bayes' factor and when we use the discriminant rule?</p>
<p>If not, which one is considered more "accurate" and why is the other being used?</p>
<p>I have found that the Bayes' fa... | g24696 | [
0.04818396642804146,
-0.052489474415779114,
0.009179285727441311,
-0.010733974166214466,
-0.009594814851880074,
-0.03457808122038841,
-0.00508222496137023,
0.012253878638148308,
0.0003687066782731563,
-0.018895186483860016,
0.038992684334516525,
0.06937691569328308,
0.0309442151337862,
0.0... |
<p>I have the mean from a previous study (the Brief Symptom Inventory) that I would like to compare the mean found in my study. Both samples have a population over 100. I do not have the entire data set for the previous study. I typically use SPSS for my stats. I was hoping to use a paired sample t-test as I am compari... | g65883 | [
-0.010138864628970623,
-0.03903379291296005,
0.012398133985698223,
-0.05815202370285988,
-0.06963954120874405,
-0.033095892518758774,
-0.010226467624306679,
-0.020995501428842545,
0.0004891809658147395,
-0.0326751247048378,
0.027876216918230057,
-0.001945629483088851,
0.027666328474879265,
... |
<p>I have data from an experiment testing a new treatment. Each subject has 4 data points, 2 of the new treatment and 2 of the control. It is like a paired analysis, but instead having 1 observation of treatment and 1 of control, I have 2 of each. Which design is it (complete block, ....). How should I analyze this dat... | g24699 | [
0.02165803499519825,
-0.0710764154791832,
-0.01005330216139555,
-0.02155175805091858,
0.026069335639476776,
-0.02191990800201893,
0.04917992278933525,
0.022473745048046112,
-0.012594981119036674,
-0.04522305727005005,
0.02894977480173111,
-0.00390396430157125,
0.031771693378686905,
-0.0002... |
<p>I have a tree and its associated distance matrix. Now I want to cut the tree to give a desired number of clusters. Luckily there are a number of methods for determining the number of clusters as discussed many times on <a href="http://stats.stackexchange.com/questions/3685/where-to-cut-a-dendrogram/3692">Cross Valid... | g24700 | [
0.012599441222846508,
0.006946159061044455,
0.013269155286252499,
-0.019639678299427032,
0.013386978767812252,
-0.07249552011489868,
0.02195786125957966,
0.04020572453737259,
-0.010689502581954002,
0.013639490120112896,
-0.020049061626195908,
-0.010770446620881557,
0.1343708485364914,
-0.0... |
<p>I'm dealing with a "large p small n" modelling problem and have decided to use the dr package to, as I understand it does, remove unnecessary / confounding parameters from my model, rather than do this manually. </p>
<p>However I'm having a bit of trouble discerning as to what I am supposed to do, and would be ver... | g8891 | [
0.01606733538210392,
-0.04314960911870003,
0.0044098831713199615,
-0.06807629764080048,
-0.018384264782071114,
-0.03356986120343208,
0.04779334366321564,
0.04817131906747818,
-0.024652181193232536,
0.0010238278191536665,
-0.04717405140399933,
-0.028810745105147362,
0.009433537721633911,
0.... |
<p>Is it possible to use xttest0 in Stata with unbalanced panel data? I want to test whether the I should use pooled OLS or random effects estimation. </p>
<p>What does this test actually do? </p> | g65884 | [
-0.016934845596551895,
-0.015720754861831665,
0.018070245161652565,
-0.08745580911636353,
0.016140909865498543,
-0.003742563771083951,
-0.007445809431374073,
0.021084921434521675,
0.04864593967795372,
-0.05997316166758537,
-0.004592400509864092,
0.045416973531246185,
0.04512578994035721,
-... |
<p>In my data the dependent variable ‘vocabulary uptake’ is measured as scores ranging from 0-10 and the independent variable is yielded from a ‘reading intervention’ with 4 different reading conditions (glossed, no glosses, etc.). There are about 80 participants in each of the four groups. The data is not normally dis... | g65885 | [
-0.010023168288171291,
-0.046928077936172485,
-0.025183485820889473,
-0.10255903750658035,
-0.03970334306359291,
-0.0449250265955925,
-0.006154172122478485,
-0.0022423521149903536,
-0.03258604556322098,
-0.02567017450928688,
0.0467202328145504,
-0.011206557974219322,
-0.03579125180840492,
... |
<p>I have been working with a small part of my dataset trying to eliminate variables and do some micro models.</p>
<p>When analysing my micro set I initially found a few high correlations with inputs (0.95 etc) which so I simply removed the variables</p>
<p>I then, fed all the variables left of interest into an OLS t... | g65886 | [
0.039960719645023346,
-0.10751574486494064,
-0.00045155533007346094,
0.0009101284667849541,
-0.0069215428084135056,
-0.032600805163383484,
0.02252485789358616,
0.049488574266433716,
-0.041037868708372116,
-0.0030188271775841713,
-0.05851908400654793,
0.02131681703031063,
-0.02107603102922439... |
<p>I have a data set with large number of attributes some are not relevant and some are relevant for the regression model. My approach was to do forward and backward selection to identify a starting point, such as which attributes I should drop from the analysis. </p>
<p>I did a forward and backward without any log tr... | g65887 | [
0.015551770105957985,
-0.021360324695706367,
0.002374375006183982,
-0.0535280704498291,
0.0245993472635746,
-0.012707432731986046,
0.06036488711833954,
0.05126981809735298,
-0.016457511112093925,
-0.04175085574388504,
-0.0014948815805837512,
0.021602436900138855,
0.05061405897140503,
0.024... |
<p>the number of car accidents every year has Poisson distribution with mean $\lambda$ and lifetime of the car has exponential distribution with mean $\frac{1}{\mu}$.
how can find distribution total number of car accidents in a lifetime of the car?</p> | g65888 | [
0.007911143824458122,
-0.030282342806458473,
-0.010197493247687817,
-0.023655151948332787,
0.06668800115585327,
-0.05781087279319763,
0.005342801567167044,
0.024664409458637238,
-0.02938312105834484,
-0.04845518246293068,
-0.01949051208794117,
-0.039892617613077164,
0.045273423194885254,
0... |
<p>I would like to know if it is possible to create a scatterplot while controlling for covariates, such as in partial correlation. I am using R software and my code is below for the basic scatterplot.</p>
<p>I am not interested in multiple lines of best fit or multiple scatters per graph. I am also not interested in ... | g65889 | [
0.04857795313000679,
-0.015532534569501877,
0.0003908136859536171,
-0.07878825068473816,
-0.049203064292669296,
-0.0158640556037426,
0.022853264585137367,
-0.0026785400696098804,
-0.0038006859831511974,
-0.045878488570451736,
0.047021474689245224,
-0.007911923341453075,
0.005535732489079237,... |
<p>Suppose we are testing null $H$ versus $K$. Here $H$ and $K$ are viewed as two disjoint sets of distributions of sample $X$</p>
<p>Given a sample $X$, one test rule rejects null if and only if $T_1(X) \geq c_1$, and the other $T_2(X) \geq c_2$.</p>
<p>I was wondering how to compare the powers of the two tests at ... | g44807 | [
0.03944653272628784,
0.000344222440617159,
-0.02676975540816784,
-0.04080451652407646,
-0.002099662786349654,
-0.055679868906736374,
-0.04844476655125618,
0.034413114190101624,
-0.0696713775396347,
-0.033247217535972595,
0.021928060799837112,
-0.008914181031286716,
0.040324606001377106,
0.... |
<p>I have two regression models; I am not sure how to interpret the coefficients. In the first one the dependent variable is earnings management proxied by (abnormal accruals scaled by total assets), the independent variable is an interaction between a dummy variable and a ratio variable M/B :</p>
<p>$A: \text{earning... | g39900 | [
0.0017667115898802876,
0.0018179513281211257,
-0.009232178330421448,
0.018561815842986107,
0.04222971573472023,
-0.010364461690187454,
0.023456916213035583,
-0.018034977838397026,
-0.005249023903161287,
-0.003842160804197192,
-0.019085556268692017,
0.020007077604532242,
0.010276369750499725,... |
<p>In my experiment I have 4 treatments (the control plus the variables: A, B, C) and I am comparing the growth among them.
I have 4 replicates for each treatment. Thus 16 samples in total.
Every other day, a cell count was made. In the total 11 cells counts for each treatment was made.</p>
<p>In the end, the mean for... | g65890 | [
0.011154074221849442,
-0.03928832709789276,
0.0031715191435068846,
-0.03485986962914467,
0.013940912671387196,
-0.06116490066051483,
0.05174165964126587,
0.00487064104527235,
0.028334666043519974,
-0.03652419522404671,
0.02960192784667015,
0.02976454421877861,
0.02746029570698738,
0.035127... |
<p>I want to measure how well I predict a vector $Y$ (vector not a label) for observation $X$. </p>
<p>Both $X$ and $Y$ have the same set of features ($1\times n$). </p>
<p>For that, I thought of "scoring" the correlation between each pair of the $n$ features, based on previous data I have, i.e. create $n\times n$ ... | g65891 | [
-0.018290726467967033,
-0.04408726468682289,
-0.0145220085978508,
-0.06336888670921326,
-0.0033421521075069904,
-0.043506842106580734,
0.02620062790811062,
-0.0055814478546381,
-0.05158647522330284,
-0.029344990849494934,
0.03624555841088295,
0.050339676439762115,
0.03915133327245712,
0.00... |
<p>I have an experiment which has 2 treatment groups(effects) and a control group. Up until this point in my analysis, I've been carrying out a DID using a regression equation of the form:
Y= γD_t + β1(TREAT1) + β2(TREAT2〗+ τ1(TREAT1*D) + τ2(〖TREAT2*D) + ε
Basically I've been including both treatment effects in the sam... | g65892 | [
-0.010035795159637928,
-0.04700068384408951,
0.0172587763518095,
-0.02740323729813099,
0.02538716234266758,
-0.009862911887466908,
0.07073649764060974,
0.034192685037851334,
-0.010688574984669685,
-0.013228306546807289,
0.0200872290879488,
0.05410616099834442,
-0.013235453516244888,
0.0157... |
<p>I have taken one introductory statistics class and am finishing up an econometrics class, but these classes are more about applications and just applying formulas without any explanations as to how these formulas came about. I am looking for a good and thorough textbook or book on statistical and probability theory... | g49347 | [
0.0890800729393959,
0.028477758169174194,
-0.00301057705655694,
-0.0004343757755123079,
-0.01194421760737896,
0.0007210638141259551,
0.038590654730796814,
-0.004504458047449589,
0.0050130984745919704,
-0.016076937317848206,
-0.024659937247633934,
0.0064711421728134155,
0.07749943435192108,
... |
<p>I am trying to see compare tow paired data sets which do not have normal distributions, and I am not sure how to do that. Can I use t-test? I would appreciate your help very much.</p>
<p>This what they look like:
<img src="http://i.stack.imgur.com/3ayaK.png" alt="enter image description here"></p> | g65893 | [
-0.00512897502630949,
0.024845324456691742,
-0.025955384597182274,
-0.10446920990943909,
0.0008599269203841686,
-0.045376475900411606,
0.01422270480543375,
-0.027643831446766853,
-0.023589881137013435,
-0.03803383931517601,
0.010268581099808216,
-0.017679410055279732,
0.04092339426279068,
... |
<p>While working on some problem in bioinformatics I applied bayesian network algorithm for classification purposes. As predictors I took a window of sequence of aminoacids and for dependent variable I used some feature of interest of a central acid.</p>
<p>For DAG estimation I used several different algorithms which ... | g44826 | [
0.007514654193073511,
-0.03267018869519234,
0.004126662854105234,
-0.010375109501183033,
0.025586526840925217,
-0.08478781580924988,
0.021064307540655136,
0.0725601390004158,
-0.0622403658926487,
-0.02766173519194126,
0.0202503465116024,
0.060920048505067825,
0.03906755894422531,
0.0260713... |
<p>I cannot find the general definition of what is a classifier? I understand how it can work, but I can't come to a definition.</p> | g65894 | [
0.002175381639972329,
0.005978567060083151,
0.0005887405714020133,
-0.05256827175617218,
0.038533784449100494,
0.02884913794696331,
0.006590687669813633,
0.017474515363574028,
-0.02237885445356369,
-0.08052823692560196,
-0.02720678597688675,
0.05091669410467148,
0.005083947442471981,
-0.00... |
<p>I am mining for association rules using arules. I often run new transaction sets with the same code. I dont change the list of restrictions on which items may appear in the rhs and lhs, but sometimes the transaction set does not have an item that is in my rhs or lhs list. </p>
<p>Is there any way to make R ignor... | g65895 | [
-0.030316784977912903,
0.012783139944076538,
-0.003238153178244829,
-0.03658566251397133,
0.02246079593896866,
-0.022964825853705406,
0.009364083409309387,
0.0024815963115543127,
-0.054440151900053024,
-0.03565225750207901,
0.04868888854980469,
0.019327525049448013,
0.05649404972791672,
0.... |
<p>Let's say there's two product types that already established, Search goods and Experience goods(Search goods refer to goods whose quality is easily evaluated before purchase. And Experience goods refer to goods whose quality can only be evaluated(experienced) after purchase. for more detail, please refer to <a href=... | g65896 | [
-0.03663328289985657,
0.004044406581670046,
-0.014542119577527046,
-0.04645783081650734,
0.02859460562467575,
-0.006772992666810751,
0.014673437923192978,
-0.05230480059981346,
-0.03638172522187233,
-0.018795371055603027,
0.017941506579518318,
0.0710650235414505,
0.02044004388153553,
0.027... |
<p>I'm trying to think how I can test a data set I have, for transactions between buyers and sellers, for a home bias. My hypothesis is that buyers would rather buy from a merchant from their home country (and that merchants don't necessarily care to whom they sell, as long as they make a sale).</p>
<p>So, let's suppo... | g65897 | [
0.02699824795126915,
0.02226286381483078,
-0.018313683569431305,
0.011850343085825443,
0.02405153401196003,
-0.04565970227122307,
0.04037908837199211,
0.018952473998069763,
-0.001953277038410306,
-0.036596622318029404,
0.01624433696269989,
0.06831829249858856,
0.03990129008889198,
-0.00615... |
<p>This is a homework problem. Let $(X,Y)\sim N(\mu_1,\mu_2,\sigma^2_1,\sigma^2_2,\rho)$. Show that if $\sigma_1,\sigma_2 >0,|\rho|<1$, then $$ \dfrac{1}{1-\rho^2}\left\{\dfrac{(X-\mu_1)^2}{\sigma^2_1}-2\rho\dfrac{(X-\mu_1)(Y-\mu_2)}{\sigma_1\sigma_2}+\dfrac{(Y-\mu_2)^2}{\sigma^2_2}\right\}$$ has a $\chi^2_2$ dis... | g23221 | [
-0.004733941052109003,
0.025093525648117065,
-0.021293314173817635,
-0.0018367412267252803,
0.008265472948551178,
-0.04988444223999977,
-0.0060851373709738255,
-0.036292411386966705,
-0.009378236718475819,
0.028737297281622887,
-0.04238440841436386,
0.0812438428401947,
-0.03350929543375969,
... |
<p>Jarque-Bera normality test has significant p-values even when there is skewness and kurtosis. Does that mean test is infering data distribution is approximately normal?</p> | g24725 | [
-0.01138724759221077,
0.010608040727674961,
0.003782148938626051,
0.010998755693435669,
-0.030197855085134506,
0.027676930651068687,
0.004520945716649294,
0.05620317533612251,
-0.03564160317182541,
-0.0020632194355130196,
0.04446705803275108,
-0.015262038446962833,
0.019228948280215263,
-0... |
<p>I am a computer scientist, so I have a background at maths (however limited). I am reading about posterior distribution from here <a href="http://en.wikipedia.org/wiki/Posterior_distribution" rel="nofollow">http://en.wikipedia.org/wiki/Posterior_distribution</a> . </p>
<p>It says there:</p>
<p>The posterior probab... | g49608 | [
0.06558068096637726,
-0.0141346026211977,
0.013514155521988869,
-0.05623263493180275,
0.025055846199393272,
0.024084854871034622,
-0.017551913857460022,
0.06058036535978317,
-0.04808023199439049,
-0.029537459835410118,
0.023133626207709312,
0.024609867483377457,
0.03604288399219513,
0.0140... |
<p>I'm building a Getting Things Done app.</p>
<p>My principle complaint with most GTD / TODO apps is they show me too much. When I'm at work, I don't want to see tasks I'm planning to do on the weekend. When I'm at home, I don't want to see work tasks. When out running errands, I just want to see my errands tasks, et... | g65898 | [
0.004469948820769787,
-0.016840754076838493,
0.017677944153547287,
-0.011728611774742603,
-0.03310507535934448,
-0.014497712254524231,
0.044684555381536484,
-0.009921475313603878,
-0.019466765224933624,
0.014806133694946766,
0.0037347401957958937,
0.030106905847787857,
0.10679368674755096,
... |
<p>I was wondering if anyone knows a good resource to learn about variance mixture models ? My interest is in particular the <a href="http://en.wikipedia.org/wiki/Normal_variance-mean_mixture" rel="nofollow">normal variance mean mixture</a>.</p>
<p>I know what they mean with their definition of $Y=\mu+\beta X+\sigma\s... | g24731 | [
0.011502375826239586,
0.0008465655264444649,
-0.022164082154631615,
-0.015476793050765991,
-0.00200943392701447,
-0.01879825070500374,
0.016888394951820374,
0.02018975280225277,
0.010862714610993862,
-0.04585768282413483,
0.030205996707081795,
0.012355146929621696,
0.031229473650455475,
0.... |
<p><strong>Update</strong>: Sorry for another update but I've found some possible solutions with fractional polynomials and the competing risk-package that I need some help with.</p>
<hr>
<h2>The problem</h2>
<p>I can't find an easy way to do a time dependent coefficient analysis is in R. I want to be able to take m... | g24732 | [
0.006469884887337685,
-0.06767835468053818,
-0.0014553506625816226,
-0.004178004339337349,
-0.008755665272474289,
-0.05277927592396736,
0.06837178766727448,
-0.03869490325450897,
-0.03914014995098114,
-0.01122018788009882,
-0.014660010114312172,
0.06827625632286072,
0.026201505213975906,
0... |
<p>I know that ARIMA is one approach widely used in forecasting of univariate time series. What are some <em>computational intelligence</em> based methods that are reported to be successfully used in the same area? If possible, please recommend some articles/reports presenting such approaches.</p>
<p>Thanks in advance... | g44841 | [
0.04029973968863487,
0.023955155164003372,
0.01353350281715393,
0.0055603948421776295,
-0.04045506939291954,
-0.04045945405960083,
0.029880456626415253,
-0.01596909947693348,
-0.025560256093740463,
0.03772299736738205,
0.07279238849878311,
0.03511986508965492,
0.09821329265832901,
-0.00945... |
<p>There are <em>m</em> disjoint sets <em>X</em><sub><em>i</em></sub> and a function <em>f</em> : [1..<em>n</em>] → [1..<em>m</em>] such that <em>Y</em><sub><em>j</em></sub> = <em>X</em><sub><em>f</em>(<em>j</em>)</sub>. I am given oracles / samples from random variables <em>x</em><sub><em>i</em></sub> and <em>y</em><... | g65899 | [
-0.01827295683324337,
0.04462798312306404,
-0.017124302685260773,
0.01378600299358368,
-0.03634684532880783,
-0.09215634316205978,
0.03893807902932167,
0.015949802473187447,
0.004439746495336294,
-0.0064956615678966045,
0.015117510221898556,
0.04518749564886093,
0.057255037128925323,
0.013... |
<p>Is there a minimum item for questionnaire? Some researchers said that the total items for teenagers ranging from 80-110 items</p> | g65900 | [
-0.047727495431900024,
0.04391751438379288,
-0.002440860029309988,
-0.012219049967825413,
-0.00027964756009168923,
-0.007185789290815592,
-0.0021855500526726246,
0.026104338467121124,
0.05499095469713211,
-0.010152825154364109,
-0.013842982240021229,
-0.028573472052812576,
-0.008927054703235... |
<p>I have 3 different DV that I try to model with 3 distinct models (linear mixed models) using the same set of IV. I found that the DV that I have the least amount of data for also has the lowest number of IV's in the final model, while the DV that has the largest amount of data has a larger number of remaining IV (in... | g65901 | [
-0.011689421720802784,
-0.01851249858736992,
0.0032038844656199217,
-0.002949936082586646,
0.03930123150348663,
0.00020895275520160794,
0.0424625538289547,
-0.0011173866223543882,
-0.006753317546099424,
-0.02299456298351288,
-0.02129494771361351,
-0.0431923046708107,
-0.001333192689344287,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.