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<p>I have a labeling task with 4 labels for which I'm using 2 coders/annotators/raters. This labeling effort leads to a confusion matrix like the one in </p> <p><a href="https://docs.google.com/drawings/d/1T7pkLLkE7qvKanxqvZO_uQ_q3hz6S3fcTbOnWophx38/edit?usp=sharing" rel="nofollow">https://docs.google.com/drawings/d/1...
g65569
[ -0.026128577068448067, -0.020042935386300087, 0.02034965343773365, 0.005700885783880949, 0.038023483008146286, -0.05059250071644783, -0.01602960377931595, 0.03090371936559677, -0.054406072944402695, 0.010622788220643997, -0.014810150489211082, 0.00795324333012104, 0.01593703404068947, 0.05...
<p>Using Stats models and Pandas (and requests for the data) I'm working on a forecast model.. my 1st step is just getting the Arma function working and understood. My data is available publically and is highly seasonal residential real estate unit sales data, I'm planning to see how a quarterly survey that we do can h...
g65570
[ 0.01985304057598114, -0.04321865737438202, 0.0148317227140069, -0.03445131704211235, -0.00411203084513545, -0.02450769767165184, 0.05224049091339111, -0.018007652834057808, 0.019747531041502953, -0.04919504001736641, 0.04804476350545883, 0.036215562373399734, 0.0631924420595169, -0.0284022...
<p>I want to talk about some data that is only relevant when looked at as a whole, to see the trends, but each individual piece of data is suspect, similar to web traffic data.</p> <p>What word should I use in this blank space?</p> <p>"This data is not supposed to be analyzed as <strong><em>_</em></strong>, it is onl...
g65571
[ 0.029888734221458435, 0.035141557455062866, -0.0036497414112091064, -0.051477257162332535, -0.02036917395889759, 0.002069895388558507, 0.015822239220142365, -0.012610107660293579, -0.013973107561469078, -0.06557098031044006, 0.06953398138284683, 0.009424210526049137, 0.07342379540205002, 0...
<p>I'd like to forecast (or predict) a time series with weights.</p> <p>The following works using the regular <code>l</code>inear <code>m</code>odelling techniques of <code>lm</code> by applying a (sigmoidal) weight distribution to the input data, essentially weighing the latter data points more heavily than the forme...
g24202
[ 0.017702685669064522, -0.0030547708738595247, 0.006341158412396908, -0.10523103177547455, 0.014296958222985268, -0.0529370941221714, 0.0308793056756258, 0.01898493804037571, -0.09452329576015472, -0.0003729111049324274, 0.01751948893070221, 0.016911666840314865, 0.09398817270994186, 0.0412...
<blockquote> <p>Suppose $X_1, \cdots, X_n$ are independent, nonnegative continuous functions, each $X_i$ has hazard function $\lambda_i(x)$.</p> <p>If $V=\max\{X_1, \cdots, X_n\}$, I need to show that $\lambda_V(x)\leq \min\{\lambda_1(x),\cdots, \lambda_n(x)\}$.</p> </blockquote> <p>I know that $\displaystyle\l...
g65572
[ -0.014038666151463985, 0.017396079376339912, -0.024040428921580315, 0.005341593641787767, 0.025954438373446465, -0.05337676405906677, -0.0095398323610425, -0.05077251419425011, -0.043811507523059845, -0.04395432025194168, -0.057140350341796875, 0.078569695353508, 0.03538349270820618, 0.006...
<p>I recently boldly claimed in front of a group of fairly smart eighth grade students that astronomy contributed greatly to the foundations of statistics and many statistical concepts were invented for use in astronomy. However, looking to back that up, I was fairly disappointed. Errors, the mean and the median deviat...
g65573
[ 0.019715914502739906, -0.02899198979139328, 0.0003985147050116211, -0.05837433412671089, 0.009573795832693577, -0.010691273026168346, 0.04279176518321037, -0.01904604770243168, -0.0060904002748429775, -0.005242067854851484, 0.02977169118821621, 0.005655566696077585, 0.09282494336366653, 0....
<p>I have read about the log-sum-exp trick in many places (e.g. <a href="https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/" rel="nofollow">here</a>, and <a href="http://machineintelligence.tumblr.com/post/4998477107/the-log-sum-exp-trick" rel="nofollow">here</a>) but have never seen an example of how...
g24203
[ 0.04235329106450081, 0.02204040065407753, 0.03415462747216225, -0.016795534640550613, -0.024527564644813538, -0.05657828226685524, 0.03949126601219177, -0.011988981626927853, -0.08728455752134323, -0.08495809137821198, -0.03771073371171951, 0.036476798355579376, 0.09616301953792572, 0.0312...
<p>I have a training dataset with a binary response variable, 6 independent variables, and 21,000 observations.</p> <p>I've fit both an ordinary regression tree and a random forest (mtry = 2, ntree = 2000) and there is almost no difference between the two when each model is validated, using RMSE and predicted to actua...
g65574
[ -0.03285728394985199, -0.019919203594326973, -0.005888707470148802, -0.006008962634950876, -0.029997125267982483, -0.04551711678504944, -0.02064276672899723, 0.057447027415037155, -0.018948495388031006, -0.038732852786779404, 0.03155159205198288, -0.014855966903269291, 0.013755495660007, -...
<p>The simplest form of the information theoretic CLT is the following:</p> <p>Let $X_1, X_2,\dots$ be iid with mean $0$ and variance $1$. Let $f_n$ be the density of the normalized sum $\frac{\sum_{i=1}^n X_i}{\sqrt{n}}$ and $\phi$ be the standard Gaussian density. Then the information theoretic CLT states that, if $...
g65575
[ 0.03199812397360802, 0.03793336823582649, -0.024558598175644875, -0.02940015308558941, -0.003823664737865329, 0.0017727639060467482, -0.0008137404802255332, -0.05612470954656601, -0.059361521154642105, -0.01697818748652935, -0.06612695753574371, -0.02257772535085678, 0.021973175927996635, ...
<p>I have set up a linear regression array in Excel and now want to test the significance of my $R^2$ value at a certain level of significance. I've only been able to find tables that give the critical $R^2$ value, but I want to test it at 99.73% level of confidence and none of them contain that specific value. Is ther...
g65576
[ 0.0286045391112566, -0.017675358802080154, -0.009407280944287777, -0.0046911220997571945, -0.00882437452673912, -0.0078065404668450356, 0.02223290130496025, 0.014362987130880356, -0.06066868081688881, -0.025190383195877075, -0.03263048827648163, 0.05397739261388779, 0.03676021099090576, -0...
<p>I have a set of 33 questionnaires, each questionnaire has 4 responses, the purpose of analysis is to evlaute the existing flood management system in country, trend in response from 33 experts, and to assess the potential of the system to integrate strategic environmental assessment in the system at planning level, c...
g5985
[ -0.02939857356250286, 0.032729025930166245, 0.00030736520420759916, -0.034131620079278946, 0.004996448755264282, 0.05387149751186371, 0.006797316018491983, -0.03406118229031563, 0.03408687189221382, -0.011187809519469738, 0.02866927534341812, -0.00815474521368742, 0.03274703398346901, 0.03...
<p>Consider the following survey question:</p> <hr> <p>Q: Choose one or more of the following 5 items:</p> <p>A B C D E</p> <hr> <ul> <li>How can one test which items are more frequently chosen for a sample with 100 individuals? Is it advisable to fit a distribution to the data?</li> </ul>
g65577
[ 0.0014657354913651943, 0.06128140911459923, -0.015600277110934258, -0.04623008519411087, 0.012761454097926617, 0.004095596261322498, -0.0020164302550256252, 0.011037060059607029, -0.01848631352186203, 0.018637362867593765, 0.010241793468594551, -0.028825078159570694, 0.02463820017874241, 0...
<p>A typical image processing statistic is the use of <a href="http://murphylab.web.cmu.edu/publications/boland/boland_node26.html">Haralick texture features</a>, which are 14.</p> <p>I am wondering about the 14th of these features: Given an adjacency map $P$ (which we can simply view an the empirical distribution of ...
g65578
[ 0.00688521983101964, 0.04206918179988861, -0.0356975682079792, -0.09048990905284882, 0.02741730958223343, -0.04545919597148895, 0.06934832036495209, 0.009369656443595886, -0.019806021824479103, 0.010532908141613007, 0.002427981700748205, 0.04526481032371521, 0.0921061635017395, -0.02621821...
<p>I'm doing quite simple SVM classification at the moment. I use a precomputed kernel in LibSVM with RBF and DTW.</p> <p>When I compute the similarity (kernel-) matrix, everything seems to work very fine ... until I permute my data, before I compute the kernel matrix.</p> <p>An SVM is of course invariant to permutat...
g65579
[ 0.008626645430922508, -0.046200476586818695, 0.01978250779211521, -0.015539286658167839, 0.007852895185351372, -0.03176551312208176, 0.03673984482884407, 0.03413780778646469, -0.10162980109453201, -0.018075505271553993, 0.005936914589256048, 0.018547888845205307, 0.025989096611738205, -0.0...
<p>I have a question which asks:</p> <blockquote> <p>Determine those values of the positive integer n for which a finite nth moment of X about zero exists.</p> </blockquote> <p>How should I approach this question? Does it depend on the numbers of variables in X? I think that a first moment exists if the mean exists...
g37630
[ -0.0005690064863301814, 0.04759378358721733, 0.0011797331972047687, -0.04609590768814087, 0.07039160281419754, -0.07957210391759872, -0.03476719185709953, 0.02449636161327362, -0.04827428609132767, -0.025010883808135986, -0.09328720718622208, 0.014705118723213673, -0.051218193024396896, 0....
<p>Could anyone provide some suggestions on how to generate over-dispersed counts data with serial correlations? I am using R software to conduct a simulation study. Any references on this subject will be much appreciated.</p> <p>Thanks for your help.</p>
g65580
[ 0.050795506685972214, -0.026711439713835716, -0.002772015519440174, -0.056596457958221436, -0.03867240622639656, 0.00026002447702921927, 0.053554970771074295, -0.01689617708325386, 0.010691994801163673, -0.05023462325334549, 0.0008514196379110217, -0.007994324900209904, 0.02066722884774208, ...
<p>Assume a dataset that has a time series of a dependent variable for a number of stocks, and then a time series of an independent variable over time. </p> <p>Would applying a fixed effects model on this mean that all unobserved characteristics of the stocks would be included in the intercepts, and all changes should...
g65581
[ 0.0024746120907366276, -0.03610752522945404, 0.01898794062435627, -0.011877967044711113, -0.009905215352773666, 0.03168525546789169, 0.04650989547371864, 0.026505853980779648, -0.023681150749325752, -0.01689085178077221, -0.003513737814500928, 0.0490737147629261, -0.005109350197017193, 0.0...
<p>I´m about to make a comparison I had never performed so I ask you to excuse me if the question is too obvious. I´m trying to analyze the relation between number of movements and prey capture time on spiders under different temperature treatments. I have four regresion lines (corresponding to different temperatures) ...
g24213
[ 0.005736855790019035, -0.06921733915805817, -0.009603076614439487, 0.008093808777630329, 0.03943461552262306, 0.006006213836371899, 0.08398103713989258, -0.04242033138871193, -0.05582035705447197, 0.025214096531271935, -0.055224716663360596, 0.0232993233948946, 0.005357070360332727, 0.0536...
<p>Consider this model:</p> <p>$$y = \beta_0 +\beta_1x_1 + \beta_2x_2 + \beta_3x_1x_2 + \varepsilon$$</p> <p>Somebody told me today that the coefficient for the main effect of $x_1$ (i.e., $\beta_1$) will be 'marginal to the interaction'.</p> <p>Could somebody explain what 'marginal to the interaction' means?</p>
g65582
[ 0.007832882925868034, -0.0029671231750398874, -0.014505904167890549, -0.013052158989012241, 0.07432529330253601, 0.0045444355346262455, 0.045325905084609985, 0.024617914110422134, -0.006544106174260378, -0.03410045802593231, -0.04168069362640381, 0.07384433597326279, 0.016876287758350372, ...
<p>I have a lot of data sets corresponding to particular events, each event is a collection of some $N$ real values between 0 and 1. Some of these events don't interest me, and I want to filter them out. To this end I want to associate with each event a value that would let me order events from the most useful to least...
g24215
[ -0.009261061437427998, 0.01941072940826416, -0.04624384641647339, -0.05798054486513138, 0.018983911722898483, -0.05642091482877731, -0.0542987622320652, 0.009686499834060669, -0.040118660777807236, -0.016504816710948944, 0.008857167325913906, 0.045834850519895554, 0.04639305919408798, 0.02...
<p>I am using the <a href="http://cran.r-project.org/web/packages/party/index.html">party</a> package in R with 10,000 rows and 34 features, and some factor features have more than 300 levels. The computing time is too long. (It has taken 3 hours so far and it hasn't finished yet.) </p> <p>I want to know what elemen...
g65583
[ -0.009618010371923447, 0.05537114292383194, -0.002060208935290575, -0.0537024550139904, 0.016851840540766716, -0.04731283709406853, 0.014451973140239716, 0.014135259203612804, -0.06912639737129211, 0.0022629047743976116, -0.0006829783669672906, 0.020647907629609108, -0.03447737172245979, 0...
<p>For a regression problem, I used gradient boosting machines and assessed RMSE. My dataset is comprised of 34 features and 10,000 records. Only 2 predictors were considered 'important' (importance for other predictors happened to be zero): they are both factor features with 300 levels or more, so lots of predictions ...
g65584
[ -0.005401154048740864, -0.029217535629868507, 0.012782606296241283, -0.021297240629792213, 0.022219523787498474, -0.0007037959294393659, 0.08478324860334396, 0.0670778825879097, -0.06552604585886002, -0.008462446741759777, -0.016867555677890778, 0.06286107003688812, 0.025280166417360306, 0...
<p>What is the formula for calculating p-value of Tukey HSD <a href="http://onlinestatbook.com/calculators/tukeycdf.html" rel="nofollow">http://onlinestatbook.com/calculators/tukeycdf.html</a></p>
g44256
[ -0.03836236149072647, 0.0766223892569542, -0.033089809119701385, -0.01908007450401783, 0.022044587880373, -0.013021369464695454, 0.021567823365330696, 0.04629475995898247, -0.06477833539247513, -0.01653752103447914, -0.031193241477012634, -0.0015199788613244891, 0.07316699624061584, -0.008...
<p>I own a software business that follows a common pattern: Interested people can download the software and try it free for 30 days, and if they like it, they can buy it at any time during those 30 days (or after). I'd like to calculate my "conversion rate," which I will define as the percentage of downloads that lead ...
g24217
[ -0.03826986253261566, 0.01283904816955328, 0.003968088887631893, -0.02094387821853161, -0.05609065666794777, -0.051852017641067505, 0.04728126898407936, 0.004724148195236921, -0.015434425324201584, -0.011731340549886227, 0.036807652562856674, 0.013019626960158348, 0.06756182760000229, 0.03...
<p>I know that for each feature-class pair, the value of the chi-square statistic is <a href="http://nlp.stanford.edu/IR-book/html/htmledition/chi-square-feature-selection-1.html" rel="nofollow">computed</a> and compared against a threshold. </p> <p>I am a little confused though. If there are $m$ features and $k$ clas...
g24218
[ 0.006935515441000462, -0.019519278779625893, -0.00878297071903944, -0.03843221813440323, 0.00835233274847269, -0.08599700033664703, 0.037319350987672806, 0.04545454680919647, -0.030360786244273186, -0.012633638456463814, -0.02418975904583931, 0.04880572110414505, 0.06499922275543213, 0.065...
<p>There is a paper that uses something like the 2-sigma limit to check if a quantity is more-or-less constant. More specifically in <a href="http://research.microsoft.com/pubs/149305/1509.pdf" rel="nofollow">this paper</a> on Text Detection (Sec. 3.2 3rd para last line) this limit is used to check for constant stroke ...
g24219
[ 0.038019802421331406, -0.02772001177072525, 0.021068967878818512, -0.037355370819568634, -0.01687370426952839, -0.021978752687573433, 0.029273252934217453, 0.04550092667341232, -0.032742977142333984, -0.031222403049468994, 0.015147448517382145, 0.053035005927085876, -0.005863361060619354, ...
<p>I'm tryin to estimate a pretty basic regression. I have a dataset containing <code>x</code> and <code>y</code> and would like to esimate the following model in R</p> <pre><code>y = b0 + b1*x1 + b2*epsilon </code></pre> <p>where epsilon=error term. I'm trying the lm() function in R, but do not know how to include t...
g24220
[ 0.038431841880083084, -0.022586751729249954, -0.005225013941526413, -0.03748360648751259, 0.010042663663625717, -0.01917935349047184, -0.010529411025345325, 0.029901504516601562, -0.06752961874008179, -0.009443569928407669, -0.04719655215740204, 0.07794661074876785, 0.01782580465078354, 0....
<p>I have a data set with a distribution of one variable against the other resembling a cubic one (rises to some point and then falls to a steady level without a consequent rise). I know in which cases to use log-linear, log-lin, lin-log, and reciprocal or log reciprocal linear models, but I am not sure what to do here...
g24221
[ 0.04697709530591965, -0.016451286152005196, -0.0037309429608285427, -0.0444214902818203, 0.012632995843887329, -0.008616647683084011, 0.012953835539519787, -0.0362682119011879, -0.04421001672744751, -0.02320820279419422, -0.003243671730160713, -0.007828772999346256, 0.03448362648487091, -0...
<p>I've come across some papers in where certain forecast errors are standardized to have unit variance. Unfortunately that's the only information they provide and I have no idea on how to obtain/calculate their results.</p> <p>Assuming I have a vector of 3 year forecasts that i would like to standardized to have uni...
g24222
[ 0.02765800803899765, -0.01990993320941925, -0.006341185420751572, -0.016706068068742752, 0.0034468877129256725, 0.008794699795544147, -0.006236723158508539, 0.04036618396639824, -0.019922982901334763, 0.009691091254353523, 0.018167436122894287, 0.03383824601769447, 0.016233928501605988, -0...
<p>Given the distribution function of random variable $X$ I know how to estimate its mean. What would be an estimator(preferably unbiased) of $\ln(E[X])$ ?</p>
g49728
[ -0.009389931336045265, -0.017623296007514, 0.011149493046104908, -0.06482770293951035, -0.026714704930782318, -0.014805622398853302, -0.05183340981602669, 0.005259300582110882, 0.004801855888217688, -0.0021881472785025835, -0.04536032676696777, 0.0059265452437102795, 0.028635671362280846, ...
<p>I am trying to determine, based on historical record, what the annual probability of occurrence would be for a specific hazard. Take tornadoes. Over a 59 year time span I have documented 45 tornadoes. Some years, across that 59 year span, saw no events occur which leaves me with 25 years out of 59 that had tornado o...
g65585
[ 0.04787537083029747, -0.019735177978873253, 0.0007833031704649329, -0.040322259068489075, -0.04070056602358818, -0.00598647678270936, 0.0780683308839798, 0.10117145627737045, 0.038581255823373795, -0.031657591462135315, 0.023097408935427666, 0.04051079973578453, 0.03271576017141342, 0.0102...
<p>In a <a href="http://www.hiveplot.net/" rel="nofollow">Hive Plot</a> nodes are placed on lines and connections between groups are highlighted. This plot seems to lose the connections between nodes on the same line. It seems like an intentional loss of data to build a better plot, but is it possible to not lose this ...
g65586
[ 0.009105564095079899, -0.05743243545293808, -0.0202180165797472, -0.039958834648132324, 0.05556771159172058, -0.03378894180059433, -0.005580243654549122, -0.04585710167884827, -0.04960699379444122, -0.05514516308903694, 0.021004216745495796, -0.006548990961164236, 0.016630662605166435, 0.0...
<p>I want to get results about population A. But all I can study is subpopulation C of B, where B is a subpopulation of A (that is, C $\subset$ B $\subset$ A). Each member of A is classified into one of the groups G1, G2, G3 and G4. Selection from A into B is not random, but selection from B into C is random, although ...
g65587
[ -0.00590801564976573, 0.018094904720783234, -0.006246920675039291, -0.06133574992418289, 0.019926629960536957, -0.02745070308446884, 0.0575128048658371, 0.025616295635700226, 0.010119988583028316, -0.013605225831270218, -0.02767917513847351, 0.07415129244327545, 0.017636358737945557, -0.02...
<ol> <li><p>From <a href="https://en.wikipedia.org/wiki/Multiple_comparisons#Large-scale_multiple_testing" rel="nofollow">Wikipedia</a></p> <blockquote> <p>Traditional methods for multiple comparisons adjustments focus on correcting for modest numbers of comparisons, often in an analysis of variance. A different...
g65588
[ 0.004909043200314045, 0.015436368063092232, -0.0032937373034656048, -0.02299739606678486, -0.0431513711810112, -0.03510547801852226, 0.03174186125397682, 0.05092260614037514, -0.014321246184408665, -0.04420371726155281, 0.021798159927129745, -0.04035127907991409, 0.045240193605422974, 0.06...
<p>Continue from my <a href="http://stats.stackexchange.com/q/59891/1005">last question</a> about an omnibus test. When the (global) null is the intersection of several individual nulls, I was wondering if the likelihood ratio test for the global null is considered to be an omnibus test. For more details, I quote from ...
g65589
[ 0.023275548592209816, -0.016697561368346214, -0.015913935378193855, -0.05242349952459335, -0.05541292205452919, 0.01904648169875145, 0.014272889122366905, 0.04492846503853798, 0.020934591069817543, -0.02460820972919464, -0.002445398597046733, 0.008737838827073574, 0.005863897502422333, -0....
<p>I've been using RStudio and I like it, but for the type of work I do a Notebook environment (like iPython Notebook) is more useful than an IDE. Is there an iPython Notebook equivalent for R?</p>
g24229
[ 0.022161010652780533, -0.0035250778310000896, 0.014090731739997864, -0.033269576728343964, -0.040236152708530426, -0.05746131017804146, 0.021703079342842102, 0.006521807983517647, -0.06864733248949051, -0.04874492064118385, 0.01308646984398365, -0.03642721101641655, 0.03125197812914848, 0....
<p>Suppose I have two sequences of characters of length L and M respectively, with the characters chosen i.i.d. from an alphabet of A through H, each with probability p=1/8. I want to find the probability that there exists a subsequence of length N which occurs simultaneously in both the length L and M sequences. I d...
g65590
[ 0.016549723222851753, 0.016795461997389793, 0.00709349662065506, -0.028320234268903732, 0.03672432526946068, -0.04612370580434799, 0.02803710103034973, 0.0063333287835121155, -0.008934703655540943, 0.004298095591366291, -0.06552854180335999, 0.022414680570364, -0.06627406179904938, 0.02026...
<p>I have two time series of daily data. One is <code>sign-ups</code> and the other <code>terminations</code> of subscriptions. I'd like to predict the latter using the information contained in both variables.</p> <p>Looking at the graph of these series it's obvious that terminations are correlated with multiples of t...
g24230
[ -0.0144277922809124, 0.01307330746203661, -0.0010518659837543964, -0.025602182373404503, 0.001671296893619001, -0.052636466920375824, 0.05036817491054535, 0.03209845721721649, 0.002819897374138236, -0.0022063017822802067, 0.0013291774084791541, 0.0399048887193203, 0.06401962786912918, 0.03...
<p>If you have one control and four groups of patients with a non-normal small sample size, there are differences in these tests for a post-hoc analysis after Kruskal-Wallis? </p>
g65591
[ -0.013273649848997593, -0.015276651829481125, 0.007561925798654556, -0.034601010382175446, -0.038768451660871506, -0.024183688685297966, -0.010475085116922855, -0.03554852679371834, -0.015723373740911484, -0.03269249573349953, 0.025723259896039963, 0.003959926776587963, -0.013432120904326439...
<h1>Theory</h1> <p>I have three data sets, let's call them A, B and C. These data sets contain the following variables:</p> <pre><code>A = { x, A1, A2, ..., An } B = { B1, B2, ..., Bm } C = { A1, A2, B1, B2 } </code></pre> <p>x is the dependent variable which I'd like to predict. As you can see, only the data set A ...
g24232
[ 0.007081193383783102, -0.037796977907419205, 0.010551015846431255, -0.054649706929922104, -0.041034284979104996, -0.030747603625059128, -0.023522857576608658, 0.06591096520423889, -0.004836409352719784, -0.04104660078883171, 0.03511148691177368, 0.07419279962778091, 0.06267765164375305, 0....
<p>I have become aware that a group at a large corporation is developing an econometrics model to forecast sales of their product. They are using this model solely to estimate sales in specified stress test economic scenarios where they are given what the economic environment will be like, including real GDP contracti...
g24234
[ 0.015761403366923332, -0.014050476253032684, -0.003741625929251313, 0.006107086315751076, 0.007189745083451271, 0.005475884303450584, 0.07675784826278687, -0.049289461225271225, 0.01460130512714386, 0.0032762917689979076, 0.058739952743053436, 0.04582074284553528, 0.008449608460068703, -0....
<p>To be more specific: Let the random variable X be distributed according to probability density function f(x). Then the pdf of Y=1/X is given by g(y)=1/y^2 f(1/y), <a href="http://en.wikipedia.org/wiki/Inverse_distribution" rel="nofollow">see wikipedia</a>.</p> <p>I wonder if there is any citable reference for that....
g49729
[ 0.022058960050344467, -0.010184524580836296, -0.020172232761979103, -0.06741003692150116, -0.008869598619639874, -0.011378859169781208, -0.006972489412873983, 0.011967072263360023, -0.050733745098114014, 0.02215537242591381, 0.011728491634130478, -0.019037658348679543, 0.07357951998710632, ...
<p>Is it possible to estimate parameters for a truncated Generalized Pareto Distribution (<a href="http://en.wikipedia.org/wiki/Generalized_Pareto_distribution" rel="nofollow">Wikipedia Article</a>) by probability weighted moments? If not, why is that so?</p> <p>I am aware that it would be possible numerically by MLE ...
g16978
[ 0.006225949618965387, 0.02571815997362137, -0.030205393210053444, -0.03535066172480583, -0.010204252786934376, -0.04268018156290054, -0.0034215894993394613, 0.03023679554462433, -0.06365205347537994, 0.08140721172094345, -0.03506854549050331, -0.029588842764496803, 0.02280585654079914, 0.0...
<p>What do you think about configural frequency analysis? </p> <p><a href="http://en.m.wikipedia.org/wiki/Configural_frequency_analysis" rel="nofollow">http://en.m.wikipedia.org/wiki/Configural_frequency_analysis</a></p> <p>I personally love the idea to extract types and antitypes in heterogenous samples in an explor...
g65592
[ 0.0005682725459337234, -0.015428117476403713, 0.004691752139478922, -0.03385811299085617, 0.009031383320689201, -0.08935261517763138, 0.03986532613635063, 0.0289516132324934, -0.0523628294467926, -0.022876471281051636, 0.03289114683866501, -0.04797448217868805, -0.009585888125002384, 0.067...
<h1>Short summary</h1> <p>Suppose two latent variables of a hierarchical model are correlated. Let $1-\epsilon$ be the degree of correlation. As $\epsilon\rightarrow 0$ the variables become perfectly correlated and Gibbs sampling appears to only be possible if the two variables are considered as one variable (i.e. usi...
g65593
[ 0.037791598588228226, -0.011206593364477158, -0.0017948924796655774, -0.051925476640462875, 0.04958111420273781, 0.025894831866025925, 0.015207113698124886, 0.0006773704080842435, 0.001850786036811769, -0.032958682626485825, -0.001945187454111874, 0.05379259213805199, -0.012637323699891567, ...
<p>I had a monthly river temperature (408 values, separated 360 for modeling). Then I deseasonalized and transformed it to a normal time series by a plotting position technique. Now I need to fit an ARMA model to the time series which I got. These plots show the time series which I want to fit a model, ACF and PACF plo...
g44278
[ 0.03556569293141365, -0.05613807961344719, -0.009129233658313751, -0.04333196580410004, -0.008520567789673805, 0.02210964448750019, 0.022476738318800926, -0.0007955926703289151, -0.04003174975514412, 0.00289190374314785, 0.02400200068950653, -0.019664015620946884, 0.04658791795372963, -0.0...
<p>So I am developing this application for rating books (think like IMDB for books) using relational database. </p> <p><strong>Problem statement :</strong></p> <p>Let's say book "<strong>A</strong>" deserves 8.5 in absolute sense. In case if A is the best book I have ever seen, I'll most probably rate it > 9.5 where...
g49657
[ 0.00034953138674609363, -0.06244564801454544, -0.007089314516633749, -0.046170614659786224, 0.042074158787727356, -0.02695026434957981, 0.031351055949926376, 0.07461395114660263, -0.03871329128742218, 0.05489612743258476, 0.05108100548386574, 0.012827414087951183, 0.025517065078020096, 0.0...
<p>[I have cross-posted this from math.stackexchange: <a href="http://math.stackexchange.com/questions/476466/is-the-following-property-for-positive-random-variables-fulfilled-in-general">http://math.stackexchange.com/questions/476466/is-the-following-property-for-positive-random-variables-fulfilled-in-general</a> ]</p...
g65594
[ -0.009173335507512093, -0.010179471224546432, -0.018289687111973763, -0.052002839744091034, -0.046745479106903076, 0.036082684993743896, -0.001759467413648963, 0.0014898242661729455, -0.030819477513432503, -0.021296033635735512, -0.00899827852845192, -0.00461952667683363, -0.0435772426426410...
<p>Based on my very simple understanding of SVMs, it seems like a probabilistic output would be a very useful thing to have. Soft margin seems to part of the way toward accounting for noisy data, but still classifies it into one class or another without saying anything about how likely a given point is to be classifie...
g35250
[ 0.02263273298740387, 0.02193974144756794, 0.006280951667577028, 0.03199465945363045, -0.03630091995000839, -0.08070462197065353, -0.0007933421293273568, 0.033483073115348816, -0.018352892249822617, -0.0576542466878891, 0.06409396231174469, -0.009230491705238819, 0.12405623495578766, 0.0415...
<p>I have a problem understanding the normalization of Term Frequency weight in document Vector Space Model for clustering. Let's say that for document d I have counted occurences of all terms. I remember reading somewhere some time ago that they should be divided by maximum term frequency for that specific document, o...
g10873
[ -0.01009330153465271, 0.008189267478883266, 0.0029226853512227535, -0.03364412114024162, 0.019054939970374107, -0.035374220460653305, 0.008952290751039982, 0.07700344920158386, -0.07948103547096252, 0.019839609041810036, -0.00784233957529068, -0.0447959341108799, 0.06795617938041687, 0.013...
<p>I have 2 variables, both from class "numeric":</p> <p><code>&gt; head(y)<br> [1] 0.4651804 0.6185849 0.3766175 0.5489810 0.3695258 0.4002567</code><br> <code>&gt; head(x)<br> [1] 59.32820 68.46436 80.76974 132.90824 216.75995 153.25551</code></p> <p>I plotted them, and now I would like to fit an exponential mod...
g46565
[ 0.013675393536686897, -0.05719061195850372, -0.002970373025164008, -0.05583778768777847, -0.03404668718576431, 0.0088951475918293, 0.0007054607267491519, -0.010536535643041134, -0.020559661090373993, 0.01581541821360588, 0.023171959444880486, 0.011540492996573448, 0.0194650087505579, -0.02...
<p>If I tested several similar variables, such as socioeconomic status measures, but only a few were significant, how would I prove that it's not just a chance finding?</p> <p>Besides having the literature to back it up, is there any sensitivity testing people usually use to prove it's not just chance? </p> <p>To wha...
g65595
[ 0.0319838672876358, 0.03165806829929352, -0.017100650817155838, 0.022121811285614967, -0.009997890330851078, -0.0018383604474365711, -0.0002867772418539971, 0.016919538378715515, 0.024894539266824722, -0.03418802097439766, 0.00913059338927269, 0.029847895726561546, -0.01167380902916193, 0....
<p>I have a data vector $p$ and I want to test if its true distribution is uniform[0,1]. So I ran a 2 similar KS tests, one with $y = p$ and the other with $y = ecdf(p)$. </p> <pre><code>ks.test(runif(length(p), min = 0 , max= 1), p) </code></pre> <p>Please forgive me for not being able to show you guys the data vect...
g24238
[ 0.029891783371567726, -0.03304600343108177, -0.021435480564832687, -0.017753994092345238, 0.004797281231731176, -0.00729327043518424, 0.018982503563165665, 0.02953396923840046, -0.04168636351823807, -0.05045163631439209, -0.02433173730969429, 0.06382935494184494, 0.021141448989510536, 0.05...
<p>I am trying to draw some conclusions about the fitting of one model, but after looking at some examples in the internet I just can't get a hold of it, the interpretation of the results I mean. Since all of the example reach a different conclusion with results I see really similar. I have some count data with high va...
g65596
[ -0.0025926604866981506, -0.03621690347790718, -0.012352757155895233, 0.021486621350049973, -0.011937202885746956, 0.004290882498025894, 0.06562921404838562, -0.008799553848803043, -0.0326911062002182, -0.01481320708990097, -0.02987479232251644, -0.01993481069803238, 0.01356120128184557, 0....
<p>After doing some tests I know the answer to this. If the standard deviation is high enough, the means will not converge fast enough to give an acceptable error. Assume the distribution of residuals is uniform and normal. If you take $n$ samples from each of the 2 points, you can take the "realm of possibilities" as ...
g16982
[ 0.07937637716531754, -0.0034379258286207914, -0.010371888987720013, 0.008381135761737823, -0.051093485206365585, 0.04982609301805496, 0.016205381602048874, -0.023307960480451584, -0.013516305014491081, -0.03219335153698921, -0.003045993624255061, 0.014073306694626808, 0.007255756761878729, ...
<p>How to chose best coin flipping machine ?</p> <p>On job interview I was asked to solve the following problem. There is some amount of different coins, some are fair and some are not. Also there are two coin flipping machines. As a result of several coin flipping experiments a table reflecting machine outcomes was c...
g65597
[ 0.034001823514699936, 0.016709310933947563, 0.0020324946381151676, -0.0940338671207428, 0.02078578993678093, -0.0287549439817667, 0.02361861802637577, 0.008419817313551903, -0.07605747878551483, -0.0037151158321648836, 0.016137873753905296, 0.03926144167780876, 0.015354554168879986, -0.029...
<p>Is there a difference between the two models - multinomial logit regression and multinomial logistic regression?</p>
g65598
[ 0.003104163333773613, 0.031015221029520035, 0.019048156216740608, 0.017062608152627945, 0.0038258549757301807, -0.04366414248943329, -0.06887365877628326, -0.050629839301109314, 0.002419952768832445, 0.007262397091835737, -0.031906288117170334, -0.02268146350979805, 0.020701555535197258, -...
<p>I have a Box-Cox regression where the explanatory variables are almost all dummy variables. If I want to see if there is multicollinearity among them, what would be an appropriate test? Do variance inflation factor (VIF) tests work here? What about the Pearson correlation coefficient matrix? </p>
g65599
[ 0.019079476594924927, 0.015253569930791855, -0.0007385510834865272, -0.04230513423681259, 0.022136041894555092, -0.04823837801814079, -0.04391743242740631, -0.007137685548514128, 0.0023484656121581793, -0.05241017788648605, -0.008469305001199245, 0.034390032291412354, 0.024647820740938187, ...
<p>The mean distance is probably zero due to averaging out. But what about the mean of the absolute distance?</p>
g44287
[ 0.004385234788060188, 0.004544945899397135, -0.010029573924839497, -0.024621950462460518, 0.01764972321689129, 0.024059277027845383, 0.01364075019955635, 0.05982385203242302, -0.03335962072014809, -0.009069778956472874, 0.01764099672436714, 0.00861078780144453, 0.07318606972694397, -0.0087...
<p>I am running an impact evaluation to investigate the impact of a specific program on several indicators x. These indicators have values between 0 and up to 10000, and a high standard deviation. </p> <p>For my purpose, I'd like to create one index for each indicator each that takes into account the initial level of ...
g24241
[ -0.024575714021921158, -0.02602619118988514, -0.03578542545437813, -0.033981431275606155, -0.02600802481174469, -0.026135677471756935, 0.037105169147253036, 0.03653205186128616, -0.026587126776576042, -0.004293089732527733, 0.011615055613219738, 0.031187113374471664, 0.040267035365104675, ...
<p>I have residuals for my model. They are simply measured-predicted. However, I notice that they do not follow a normal distribution. I want to make my residuals distribution normal so that I can obtain confidence intervals that are representative of the distribution. I have tried doing the following:</p> <pre><co...
g24243
[ -0.009588462300598621, -0.013524995185434818, -0.007745006121695042, -0.04406784474849701, -0.070426806807518, 0.04703386500477791, -0.011529630981385708, 0.05452483147382736, -0.036121975630521774, -0.05693969130516052, -0.013658636249601841, 0.025096725672483444, 0.06665883213281631, -0....
<p>I'm not quite sure where to start... I'm trying to wrap my head around two methods for drawing samples from a parameter distribution, given a forward model and some distribution of the observable. I'll call these methods <em>direct</em> and <em>Markov Chain</em> Monte Carlo and describe them below. But to be clear o...
g65600
[ 0.025411056354641914, -0.07279108464717865, 0.009687009267508984, -0.04586879163980484, 0.017232142388820648, 0.020705807954072952, 0.011823703534901142, 0.020727936178445816, -0.05288444831967354, -0.03624570742249489, -0.006340038497000933, 0.004979575518518686, 0.09890516102313995, 0.03...
<p>I wish to break into the field of data science, more specifically, analysing data sets, extracting features and classifying them or identifying relationships.</p> <p>However, I have no formal math background and am trying to re-learn it from the ground up. I've started an introductory stats and probability course ...
g65601
[ 0.0538901761174202, 0.022556837648153305, 0.013578762300312519, -0.02706214040517807, -0.001688280957750976, -0.04691997170448303, 0.00915244035422802, -0.01768794097006321, -0.018594972789287567, -0.07274329662322998, 0.021973414346575737, 0.06798105686903, 0.08409605175256729, -0.0308630...
<p>At my firm we have been calculating fundamental stock factors each week for over a decade. We have the performance of each of these factors. I'd like to enhance the statistical analysis of these factors and improve the multi-factor optimization. Is there a somewhat beginner "popular" software that interfaces with...
g65602
[ 0.014460548758506775, 0.012263880111277103, 0.018769729882478714, -0.01498895138502121, -0.05661445111036301, -0.09380693733692169, 0.042250312864780426, -0.012866131030023098, -0.03598213568329811, -0.03301859647035599, 0.0030558721628040075, -0.012828828766942024, 0.049541547894477844, 0...
<p>I've proposed using an anomaly detection algorithm in a project. </p> <p>The algorithm would consist of choosing some features we think might be indicative of anomalous examples. Then using a training set of anomalous and non-anomalous examples to fit parameters to a Gaussian distribution. We would then use these...
g65603
[ 0.038259267807006836, 0.005621045362204313, 0.014172948896884918, -0.04115942865610123, -0.013741749338805676, 0.005253904964774847, -0.024104876443743706, 0.044167596846818924, -0.017070215195417404, -0.004952425602823496, -0.0009429979836568236, 0.0568462535738945, 0.060577549040317535, ...
<p>I'm still working on R problems from a book, and using my spending data. </p> <p><strong>Part 1:</strong> I need to predict the amount that a male with average data for status, income and verbal would spend along a 95% CI. (NB, male is coded as 0 and female 1 in the data set.) </p> <p>First I used the linear mode...
g65604
[ -0.005481342785060406, -0.03570966422557831, -0.004722747951745987, 0.0058834487572312355, -0.024930277839303017, -0.04652857035398483, 0.019668688997626305, -0.0289409589022398, -0.047817740589380264, -0.0029824301600456238, -0.053947124630212784, 0.010846574790775776, 0.044662464410066605,...
<p>I am trying to see how different priors affect the posterior estimates in <code>bayesglm{arm}</code>. But no matter what the prior is, why is the posterior hardly changing? </p> <pre><code>library(Zelig); data(turnout) #Using the "turnout" data from the "Zelig" package library(arm) #Loading the "arm" package model...
g24251
[ -0.013266311027109623, -0.04396374151110649, -0.0003765188448596746, -0.06583476066589355, 0.005129298660904169, 0.01473267562687397, 0.01090793963521719, 0.028430098667740822, -0.0478646345436573, -0.03574998676776886, -0.007011169567704201, 0.05808905139565468, 0.03997955843806267, 0.038...
<p>I'm currently working on a quasi-experimental research paper. I only have a sample size of 15 due to low population within the chosen area and that only 15 fit my criteria. Is 15 the minimum sample size to compute for t-test and F-test? If so, where can I get an article or book to support this small sample size?</p>...
g49489
[ 0.00917294155806303, 0.03638681024312973, 0.001183875254355371, -0.08108329027891159, -0.022825658321380615, -0.018243854865431786, -0.02619710937142372, 0.023533452302217484, -0.04986526072025299, -0.023660408332943916, 0.04832316190004349, -0.04308641701936722, 0.0011617825366556644, 0.0...
<p>I would like to create a "weakly informative" prior distribution for a couple parameters. They both could theoretically take any value between 0 and 1, but I have reason to think that they should be negatively correlated. Is there any sort of standard joint distribution (a beta-analogue to the multivariate normal?) ...
g65605
[ 0.03886384516954422, -0.024472184479236603, -0.005517014767974615, -0.08367764949798584, -0.04277181997895241, 0.008758127689361572, -0.044811561703681946, 0.006078922189772129, -0.01656469888985157, -0.0340118408203125, 0.01339199673384428, -0.0068700010888278484, 0.0009338830132037401, 0...
<p>I would like to know how R chooses its starting coefficient vector for a GLM when its <code>start</code> argument is left blank and defaults to <code>NULL</code>. For my personal implementation of a GLM, I have simply initialized $ \boldsymbol \beta_0 $ to be all $1$s. However, while this generally is fine, it can c...
g48899
[ 0.0486767552793026, -0.0431562177836895, -0.014353569597005844, 0.017515672370791435, 0.05946420133113861, -0.0734957903623581, 0.042050063610076904, -0.017872042953968048, -0.06113443896174431, -0.017089638859033585, -0.07255759090185165, 0.06126604601740837, 0.028700482100248337, 0.03009...
<p>I'm having some trouble with a homework problem, and would appreciate help.</p> <p>You have an i.i.d. sample of n observations drawn from a distribution.If $\hat x$, the mean, is known, we can estimate the variance with: $\hat \theta_x^2 = 1/n \sum(X-\hat x)^2$. Show that $\hat \theta_x^2$ is and unbiased estimator...
g44298
[ -0.0031006194185465574, 0.013676690869033337, -0.02009064145386219, -0.05226767063140869, 0.021546566858887672, -0.022716553881764412, 0.017969410866498947, 0.006989855784922838, -0.0062576052732765675, -0.0013603123370558023, -0.00038176210364326835, 0.006564382463693619, -0.008640251122415...
<p>Sorry if this is a n00b question, I'm just trying to wrap my head around the problem. I am trying to refute conventional wisdom here, so any help is greatly appreciated.</p> <p>And now for the question:</p> <p>For example, I flip a coin 100 times and I end up with 50 consecutive heads followed by 50 consecutive ta...
g10878
[ -0.018949909135699272, 0.03240588679909706, 0.015381399542093277, -0.030136333778500557, -0.006394187919795513, -0.026103610172867775, 0.03544997796416283, -0.009807837195694447, -0.021424606442451477, -0.022066941484808922, -0.005707770586013794, 0.03805596008896828, 0.03955161198973656, ...
<p>Imagine you have a study with two groups (e.g., males and females) looking at a numeric dependent variable (e.g., intelligence test scores) and you have the hypothesis that there are no group differences.</p> <p><strong>Question:</strong></p> <ul> <li>What is a good way to test whether there are no group differenc...
g49879
[ 0.008264553733170033, 0.019411729648709297, 0.01936948113143444, -0.0638841763138771, -0.04129019379615784, 0.03117590956389904, 0.003496864577755332, 0.008039426058530807, -0.04993945360183716, -0.031523820012807846, 0.06234687939286232, 0.018523260951042175, -0.004688933491706848, 0.0111...
<p>I have 4 groups of different respondents, each group surveyed on four different dates (points of time). All respondents have answered a psychological questionnaire related to their perception of death (Perception of Death Questionnaire, PDQ). I also have a sample of popular newspapers that have circulated on and bef...
g65606
[ 0.014888938516378403, -0.01833581179380417, -0.011233684606850147, -0.02420816756784916, 0.044646766036748886, -0.012479073368012905, 0.00867814477533102, -0.010492892935872078, -0.009104853495955467, -0.01107124425470829, 0.01807543821632862, 0.0033289575949311256, 0.02337457798421383, 0....
<p>I just loaded a csv file in R. When I ran the <code>summary</code> command for one of the columns, I got the following: </p> <pre><code>&gt; Error: unexpected symbol in "summary k_low" </code></pre> <p>I'm pretty sure I know what the 'unexpected symbol' is: for observations in which we had no reliable data for the...
g44308
[ 0.017324967309832573, 0.03725893050432205, -0.007911523804068565, -0.06093569099903107, -0.02950136549770832, -0.024166354909539223, 0.07869867980480194, -0.012245181016623974, -0.06017787382006645, -0.0699314996600151, -0.028988998383283615, 0.07257737219333649, 0.035506367683410645, -0.0...
<p>I have ran this model in R:</p> <pre><code>glm(alert ~ water.height + ssp*ssp.zone + log(count) + ssp*days, family=quasibinomial, data=ScanSampling_sub_alert) </code></pre> <ul> <li><code>Alert</code> = proportion of a goose flock that were alert, </li> <li><code>ssp</code> = subspecific identity of flock, </...
g65607
[ 0.02009771578013897, -0.02134973369538784, -0.04289640858769417, -0.02127349190413952, 0.03798889368772507, 0.048341602087020874, 0.036313433200120926, -0.002753232140094042, -0.030823297798633575, -0.038098227232694626, -0.029371557757258415, 0.02705586887896061, 0.04914142191410065, 0.02...
<p>I think I am able to visualize this graphically, but can't think of how to write this out. Some other literature online suggests drawing a picture, but I was looking for a concrete proof.</p> <p>I started working through contradiction, but could not get anywhere. Any help would be great.</p>
g24266
[ 0.012111109681427479, 0.058199867606163025, 0.0026153740473091602, -0.06331949681043625, 0.03070753440260887, -0.03173709660768509, 0.0027039481792598963, 0.022043704986572266, -0.011050633154809475, -0.01566421426832676, 0.026584656909108162, 0.015587101690471172, 0.03161044418811798, 0.0...
<p>In my design, I have 3 binary items for each condition (4 conditions total) meant to measure the same thing. All participants were in all conditions (repeated measures, 12 scores each). </p> <p>I made a composite score for each participants for each condition (yes, I know, not advisable but this is the way I am doi...
g24267
[ -0.03384915366768837, 0.019152775406837463, -0.02757243625819683, 0.003301304532214999, 0.03732835873961449, 0.061188776046037674, 0.055803339928388596, 0.053037453442811966, -0.03284183889627457, -0.055976275354623795, -0.041797250509262085, 0.018272683024406433, 0.0006097808363847435, 0....
<p>Compact letter displays are similar to grouping bars often used to display the results of a multiple-comparison procedure, but can be used more generally. You give a list of sample means (or other statistics) and associate one or more letters with each mean. Two means sharing the same letter are not significantly di...
g24269
[ -0.010548517107963562, -0.04615189507603645, 0.012494545429944992, -0.09809903055429459, 0.01903841644525528, -0.03350476548075676, 0.024673782289028168, -0.03303646668791771, -0.01253662072122097, -0.04790783300995827, 0.02096819132566452, 0.027947401627898216, 0.019074173644185066, 0.062...
<p>I'm considering a model in lme4 in which I am estimating random effects for two crossed factors, very similar to the Machines example in Bates' 2010 draft book (<a href="http://lme4.r-forge.r-project.org/lMMwR/lrgprt.pdf" rel="nofollow">http://lme4.r-forge.r-project.org/lMMwR/lrgprt.pdf</a>; Chapter 4, section 4.1.2...
g65608
[ -0.02419169992208481, -0.021278424188494682, -0.00462392857298255, -0.009239599108695984, 0.03732137754559517, 0.05310700833797455, 0.06748698651790619, -0.0033319180365651846, -0.03574293851852417, -0.001248433138243854, -0.019347399473190308, 0.010739818215370178, 0.0041655851528048515, ...
<p>I have a data set where many of the actual values are zero, so I can't use MAPE. It's not a time series, so I can't use MASE ala our very own Rob Hyndman.</p> <p>Is there another alternative to MAPE that I could use?</p>
g65609
[ -0.008268376812338829, 0.018345385789871216, -0.0023742741905152798, -0.05059546232223511, -0.10658080130815506, -0.031876180320978165, 0.003425681497901678, 0.005127428099513054, -0.01765722781419754, -0.028129830956459045, 0.02160903625190258, 0.015405387617647648, 0.10093805193901062, 0...
<p>I'm trying to run <em>post-hoc</em> comparisons on a factorial ANCOVA model for a project of mine and I'm having some difficulty. First off, lets start with the experimental design:</p> <ol> <li>Factors include: Focal plants infection status (2 levels), Competition (2 levels) and Damage (2 levels) crossed in a full...
g65610
[ 0.008305691182613373, -0.06195775792002678, -0.020553065463900566, -0.0490812323987484, 0.029837092384696007, -0.0346766822040081, 0.05817288160324097, -0.02231648936867714, -0.030210772529244423, 0.04241623356938362, 0.03262598440051079, 0.019084876403212547, 0.05289408937096596, -0.02174...
<p>I have two datasets from similar psycholinguistic experiments. In both of them, information about the participant's reading and spelling ability was collected, then converted into standardized scores zRead and zSpell. The aim is to use these as covariates when examining the priming effects from the experiments. Beca...
g65611
[ -0.024944208562374115, -0.02650565467774868, 0.019915863871574402, -0.05676963925361633, 0.00937758106738329, -0.02619883045554161, 0.042904481291770935, 0.047304701060056686, -0.01208578608930111, 0.014026706106960773, 0.07011198252439499, 0.036208376288414, -0.01657247357070446, 0.005344...
<p>I'm a beginner in ML, and I want to practice with some algorithms I learned from the book, after searching stats.SE, I found some places where I can get some datasets. But I have this stupid question, how to use them?</p> <p>For example, the <a href="http://archive.ics.uci.edu/ml/datasets/Iris" rel="nofollow">Iris ...
g24273
[ -0.014841903001070023, 0.03788110613822937, 0.001530149602331221, -0.04616616666316986, 0.0025749176274985075, -0.010839163325726986, 0.038187332451343536, 0.06821202486753464, -0.01600448228418827, -0.016345761716365814, -0.002968141343444586, 0.009855303913354874, 0.06650609523057938, -0...
<p>I have scored pig carcasses for injuries at 2 points; immediately after slaughter (slaughter stage 1 [SS1]) and again after the carcases have been washed, scalded and dehaired (slaughter stage 2 [SS2]). I have used an ordinal scale to record damage - absent, mild, moderate and severe skin damage. I have reason to be...
g65612
[ 0.015994470566511154, -0.05839594081044197, -0.01947130635380745, -0.07027222216129303, 0.004852799698710442, -0.035129107534885406, 0.06208145245909691, 0.06239810958504677, -0.026832519099116325, -0.031248396262526512, -0.008193926885724068, 0.07951799780130386, 0.059474945068359375, 0.0...
<p>I have a set of 50 (<code>P</code>) time series' and each one is on a slightly different but should be influenced by the same effects of time. To get the time effects I have constructed the following model random intercept GLM with a Poisson Link Function (below). Since I think observations from day to day are likl...
g24275
[ -0.038008976727724075, -0.035544250160455704, -0.015043791383504868, -0.07731166481971741, 0.00570042384788394, -0.024408383294939995, 0.08075224608182907, -0.0008499238174408674, -0.030195118859410286, -0.046311117708683014, 0.009008923545479774, 0.023400865495204926, -0.010409128852188587,...
<p>I am working my way through (<a href="https://projecteuclid.org/euclid.ss/1032280214" rel="nofollow">T.J. Diccio &amp; B. Efron, "Bootstrap Confidence Intervals", <em>Statistical Science</em>, 1996, <em>11</em>(3), 189–228</a>), and I'm stuck even before I get to the good stuff.</p> <p>In the introduction, there is...
g24276
[ 0.011011016555130482, -0.024757469072937965, -0.014226768165826797, -0.02241092547774315, 0.03498493507504463, 0.003624134697020054, 0.06802667677402496, 0.04508991912007332, -0.07324055582284927, -0.037145987153053284, -0.035614944994449615, 0.04040909186005592, 0.026409408077597618, -0.0...
<p>I have a small timeseries dataset that has 30 records with 6 predictor variable and 1 response variable. I would like to regress my time series response with 6 predictor variables. I have been using traditional statistical methods to do modeling.</p> <p>My question is are there any good data mining predictive mode...
g65613
[ 0.04003529250621796, 0.008856377564370632, -0.01670280657708645, -0.004196507390588522, -0.055661238729953766, -0.0816371813416481, 0.006131914909929037, -0.0012550154933705926, -0.011582461185753345, -0.05986884981393814, 0.037610314786434174, -0.0018146596848964691, 0.03279195353388786, ...
<p>My data is autocorrelated and is lognormally distributed, how can I calculate Confidence interval of that set of data?</p>
g65614
[ 0.03406132012605667, -0.016882097348570824, -0.023041950538754463, -0.013832374475896358, -0.0372045524418354, 0.031705841422080994, 0.012981648556888103, -0.015651093795895576, -0.05073394253849983, -0.04931803420186043, -0.024886034429073334, 0.07630372792482376, 0.016481338068842888, -0...
<p>I have a dataset that I'm trying to classify into 2 groups, A and B, using a random forest model. I know the true grouping and I'm trying to see how well I can model it using the other available variables. I've tried 2 different approaches that I thought would be equivalent, but which are actually giving me quite di...
g65615
[ -0.02066001296043396, -0.05874798819422722, -0.003276052651926875, -0.04600084573030472, 0.04926134645938873, -0.055351149290800095, -0.0159195177257061, 0.04905601218342781, -0.014225228689610958, 0.0048867701552808285, 0.07328394800424576, 0.012492077425122261, 0.028791995719075203, 0.03...
<p>I recently was told that the process I followed (component of a MS Thesis) could be seen as over-fitting. I am looking to get a better understanding of this and see if others agree.</p> <p><strong>The objective</strong> of this part of the paper is to </p> <ul> <li><p>Compare performance of Gradient Boosted Regre...
g10883
[ 0.008163122460246086, -0.0505402646958828, -0.017820285633206367, -0.03514228016138077, 0.012105083093047142, 0.007850299589335918, 0.05803561583161354, -0.003965997602790594, -0.013885649852454662, -0.0036175791174173355, 0.0013214406790211797, 0.04988490417599678, -0.021150823682546616, ...
<p><a href="https://www.youtube.com/watch?v=gI0xQcLIplA" rel="nofollow">https://www.youtube.com/watch?v=gI0xQcLIplA</a></p> <p>In the video link I have attached, a particular Friedman's test is implemented for a comparison of several treatments against a control. I am not sure if this implementation is well known. My ...
g65616
[ 0.012603462673723698, -0.05173112452030182, -0.026477359235286713, -0.012249737046658993, 0.03612495958805084, -0.068185955286026, 0.04390214383602142, 0.011588110588490963, -0.024599891155958176, 0.000843413348775357, -0.01750200428068638, -0.0018678527558222413, 0.019165296107530594, 0.0...
<p>I am doing a thesis research on fraud in a review dataset and have a hard time solving the following problem.</p> <p>I created a feature that calculates the disagreement between two types of users (new and frequent reviewers). I arbitrarily chose to require at least 2 reviews from each type of user before I can say...
g35698
[ -0.007701106369495392, 0.005492701195180416, -0.01644391380250454, -0.030158275738358498, 0.007077861577272415, -0.00904563907533884, 0.01909039355814457, 0.006806571967899799, -0.0674145296216011, 0.004569814074784517, 0.03444080054759979, 0.03683558106422424, 0.01240916270762682, 0.02369...
<p>I'll ask my question as if it was a school assignment.</p> <p>John makes 400 observations. These observations can be of 5 types: A, B, C, D, or E.</p> <pre><code> observation 1: A observation 2: E observation 3: A observation 4: D observation 5: C observation 6: A observation...
g65617
[ -0.0005470317555591464, -0.037208233028650284, -0.020003795623779297, -0.008220531977713108, 0.023957019671797752, 0.02746199630200863, 0.05476796254515648, -0.0053269038908183575, -0.002923478838056326, -0.028305236250162125, -0.02567150816321373, 0.036778733134269714, 0.049326635897159576,...
<p>I wish to perform multiple linear regression of 5 or 6 predictors at a time.</p> <p>I have total no. of 50 predictors.</p> <p>I want to find regression coefficients for all possible combinations of predictors from the master dataset of 50 predictors taking 5 and 6 predictors at a time.</p> <p>$$Y = a.X_1 + b.X_2...
g10886
[ 0.01552184671163559, -0.04915627837181091, 0.006811440456658602, 0.022827954962849617, -0.026708755642175674, -0.0611499547958374, 0.027012521401047707, 0.013883245177567005, -0.05020926147699356, -0.04898422211408615, -0.04366539046168327, -0.011320448480546474, 0.023717617616057396, 0.01...
<p>I'm interested in modeling the probability of successfully arriving at a spawning site for an individual $i$, given two impediments that are conditioned on one another. I know whether an individual made it pass hurdle 1 ($y_{1,i}$) and hurdle 2 ($y_{2,i}$), and several other measurements that I want to use to model...
g65618
[ -0.04301061853766441, 0.028587721288204193, 0.011139553040266037, 0.011098719201982021, -0.016558676958084106, -0.015716781839728355, 0.015547043643891811, 0.010718483477830887, -0.042616453021764755, -0.012014583684504032, -0.007138239219784737, 0.053897786885499954, 0.02555307000875473, ...
<p>Let's say that I'm conducting a meta-analysis, looking at the performance of group A and group B with respect to a certain construct. Now, some of the studies that I'll come across will report that no statistical differences could be found between the two groups but no exact test statistics and/or raw data will be p...
g24279
[ 0.00992540456354618, 0.009501148946583271, 0.005539480596780777, -0.028524385765194893, 0.014225323684513569, -0.02863067388534546, -0.025508057326078415, 0.008695202879607677, -0.02439490519464016, -0.01958276890218258, 0.03398109972476959, -0.020006129518151283, 0.017189349979162216, 0.0...
<p>Suppose I have two sets of samples $\{a_i\}$ for $i=1, \ldots, n_a$, and $\{b_j\}$ for $j=1,\ldots, n_b$, drawn respectively from two Poisson random variables $A \sim\textrm{Poiss}(\lambda_a)$ and $B \sim \textrm{Poiss}(\lambda_b)$ with the constraint $$ \frac{\lambda_a}{c_a}=\frac{\lambda_b}{c_b}=\mu, $$ where $c_{...
g65619
[ 0.00828665029257536, -0.04791538789868355, 0.0028870266396552324, -0.06233980134129524, -0.009467022493481636, -0.011294829659163952, -0.027797918766736984, -0.03117366135120392, -0.07428223639726639, 0.024024447426199913, -0.022488858550786972, 0.018555911257863045, -0.005382482893764973, ...
<p>A TA needs a very important program on his computer but his power cable is missing. Luckily, he happens to have 100 batteries lying around and a contraption that can store batteries to use one at a time. From his understanding, the average lifetime of a battery will last 2 hours for his computer with a standard devi...
g24282
[ 0.00007485003879992291, 0.0510474257171154, -0.004025880713015795, -0.006466047838330269, -0.05049245432019234, 0.04689130559563637, 0.028868161141872406, -0.023506147786974907, -0.01251455582678318, 0.0014318058965727687, -0.017309311777353287, -0.047513578087091446, -0.0021036954130977392,...
<p>I have characterized cells into 6 categories and want to compare the percent distribution of the different categories at 3 time points. Once I figure that out, I actually have additional treatment groups as well. What is the appropriate statistical test for comparing the frequency distribution between the 3 timepoin...
g24283
[ 0.028851687908172607, -0.004922466352581978, -0.004058386664837599, -0.020019875839352608, 0.029309285804629326, -0.04217086359858513, 0.04354450851678848, -0.03499159216880798, -0.02007584646344185, -0.024703923612833023, 0.03155864030122757, 0.004014615435153246, 0.030708475038409233, 0....