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<p>I have experimental and computational data for n genes in data matrix. The rows are the genes and columns are its values. Now, the data is from two sources:</p> <ol> <li>Computational Prediction Results in form of p-values from Fisher Exact Test.</li> <li>Count Data results from the experiments across 4 different t...
g62035
[ 0.009169479832053185, 0.013501297682523727, -0.00012260847142897546, -0.0635870099067688, -0.0013694275403395295, -0.10210651159286499, -0.02566486783325672, 0.031123429536819458, -0.07091132551431656, -0.0020222945604473352, -0.0033538956195116043, 0.006023872178047895, 0.04368296265602112,...
<p>I am using a Poisson model. My theory suggests a positive $X_1$ and a negative $X_1^2$. However, the results show an insignificant, positive estimate for $X_1$ and a significant, positive estimate for $X_1^2$. How should I interpret the result when $X_1$ is not significant but $X_1^2$ is significant? Thanks!</p>
g62036
[ -0.02293635532259941, 0.01146988570690155, -0.007472871337085962, -0.03870271146297455, 0.009579641744494438, -0.020569968968629837, -0.026976870372891426, 0.015238911844789982, -0.0351850725710392, 0.00030298298224806786, 0.003983763512223959, 0.0008494297508150339, -0.007911915890872478, ...
<p>In the decision tree based classification technique. What is the difference among the different approaches like entropy, gini index? When to use entropy and when to use gini index?.</p>
g18895
[ 0.01574215106666088, -0.010291372425854206, -0.001086894073523581, -0.03672388941049576, 0.01959208957850933, -0.07216237485408783, 0.0011000941740348935, -0.017370475456118584, -0.04408537596464157, 0.013885002583265305, 0.0276444461196661, 0.020917076617479324, 0.11202307045459747, 0.023...
<p>I thought I was fairly good at combinatorics, but this puzzle is giving me some trouble! </p> <p>I have a bag with $N$ balls. I pick one at random, mark it and put it back inside the bag. I repeat this operation $D$ times. What is the probability that I will end up with exactly $C$ clean balls?</p>
g18896
[ -0.044401124119758606, -0.004589281976222992, 0.008804303593933582, -0.019727172330021858, 0.02914050780236721, 0.007547526154667139, 0.05697381868958473, -0.0005933750653639436, 0.03200595825910568, 0.00002383647188253235, -0.0872950330376625, 0.007910119369626045, 0.023338323459029198, -...
<p>I want to build classifier using naive bayes. I know that naive bayes is supervised learning that requires labeled data for training set. However, I only have data with no label on it. Is there any method to give label to unlabeled training data or we only need to label it manually? I want to label my data with two ...
g18897
[ 0.026314714923501015, -0.06118002161383629, 0.024213917553424835, -0.01886650174856186, -0.01927751861512661, 0.025837082415819168, -0.020443469285964966, 0.00966792181134224, -0.054718561470508575, -0.033385198563337326, 0.04019807651638985, 0.037614889442920685, 0.028482092544436455, 0.0...
<p>how svm algorithm used to impute the missing data in a dataset. I need a manual implementation of svm algorithm to find missing values with example</p>
g62037
[ 0.07499302178621292, -0.023616129532456398, 0.004429759923368692, -0.003442462533712387, -0.020805899053812027, 0.03790416195988655, -0.019070234149694443, 0.06002232804894447, -0.03404856100678444, 0.05280496925115585, -0.05120675265789032, -0.00818291213363409, 0.040641900151968, 0.02946...
<p>I have time series of several variables of 60 or so rows of count data. I want to do a regression model <code>y ~ x</code>. I've chosen to use a Quasipoisson &amp; Negative Binomial GLMs as there's overdispersion etc. </p> <pre><code>x Min. : 24000 1st Qu.: 72000 Median :117095 Mean :197607 3rd Qu.:2913...
g62038
[ 0.03609714284539223, 0.04317009821534157, 0.00392962247133255, -0.04960642382502556, 0.027982084080576897, -0.024498818442225456, 0.007070388179272413, 0.0028168654534965754, -0.05678212270140648, -0.03506660461425781, -0.022297736257314682, -0.011082109995186329, 0.018740089610219002, -0....
<p>I am using a simple UIP model to forecast exchange rates using interest rates with a twelve month horizon. The equation I use is: $E(t+12) - E(t) = α + β(I*(t) - I(t))$. I apply OLS linear regression on the in-sample period to get $α$ and $β$ and then use these values to calculate the forecast. For example, if I use...
g23084
[ -0.007130770478397608, 0.002061933744698763, 0.01325125340372324, -0.027766399085521698, -0.0020974394865334034, 0.008848107419908047, 0.07091619819402695, 0.01499263383448124, -0.005777012091130018, 0.03766249492764473, 0.06610081344842911, -0.012208666652441025, 0.006730058696120977, 0.0...
<p>Suppose I have two models created by calling <code>glm()</code> on the same data but with different formulas and/or families. Now I want to compare which model is better by predicting on an unknown data. Something like this:</p> <pre><code>mod1 &lt;- glm(formula1, family1, data) mod2 &lt;- glm(formula2, family2, da...
g62039
[ -0.007564222905784845, -0.05766460672020912, -0.02274063043296337, -0.03436895087361336, 0.006434881594032049, -0.05317748710513115, -0.0070105367340147495, -0.0035386495292186737, -0.09263183921575546, -0.06819372624158859, -0.004095522221177816, 0.0466504842042923, 0.10050545632839203, -...
<p>I am trying to understand what does it means to have a (linear) SVM classifier (with soft margins) given the generative model of the data. And I realize I have not seen any paper on it, nor can I extend the theory by myself. At least two problems:</p> <ul> <li><p>the penalty term $C \sum \xi_i$ will become unbound...
g62040
[ 0.00793496798723936, 0.07827280461788177, 0.003323396435007453, 0.01740867830812931, 0.024088332429528236, -0.03654378280043602, -0.001358069945126772, 0.05823371559381485, -0.021651096642017365, -0.011094405315816402, -0.03827560693025589, 0.019542228430509567, 0.048502132296562195, 0.048...
<p>I am trying to estimate the probability of an event using a low number of observations. The naive estimator</p> <p>$\hat{p} =\frac{\text{number of positive observations}}{\text{total number of observations}}$</p> <p>works well when the total number of observations is big enough, but if you have only a few observat...
g18903
[ 0.027383573353290558, -0.006387469824403524, 0.010294395498931408, -0.02863350696861744, -0.0272661205381155, -0.03036404587328434, 0.02350851707160473, 0.04974540323019028, -0.051898349076509476, -0.08321689069271088, 0.0032107674051076174, -0.023347875103354454, 0.026763152331113815, 0.0...
<p>I am currently doing my fourth year thesis examining the moral stages of children/adolescents. The DV is the moral stage (categorical variable, stages 1, 2, 3, or 4) and the IVs are age group (I currently have 2, but may potentially have 3) and gender, so my design will be either a 2 x 2 or a 3 x 2.</p> <p>I have b...
g48878
[ -0.012486527673900127, 0.031363774091005325, -0.0018918048590421677, -0.035577062517404556, -0.012658032588660717, -0.043593522161245346, -0.027874669060111046, -0.024856898933649063, -0.0383264422416687, 0.034859951585531235, 0.011734306812286377, -0.04437386989593506, 0.07807741314172745, ...
<p>I came across <a href="http://blog.echen.me/2011/04/21/a-mathematical-introduction-to-least-angle-regression/" rel="nofollow">this blog post</a> about least angle regression, and at a point he says:</p> <blockquote> <ul> <li><p>Find the variable $x_1$ most correlated with the residual. (Note that the variable m...
g49223
[ 0.054097335785627365, -0.06261909753084183, -0.016772260889410973, -0.012748895213007927, -0.0038151952903717756, 0.0038927190471440554, 0.04290308803319931, -0.008854114450514317, -0.02429812215268612, -0.0048691569827497005, 0.012588994577527046, 0.039359986782073975, 0.03298431634902954, ...
<p>Ive been trying to find a way to average negative binomial GLMM using MuMin R Package but it seems not to work for negative binomial GLMM, any alternatives? thanks in advance!</p>
g62041
[ -0.005409902893006802, -0.049674663692712784, 0.015397220849990845, 0.04376882687211037, -0.029686469584703445, -0.014175256714224815, -0.04178600013256073, 0.003171309595927596, -0.03222844749689102, 0.008882935158908367, 0.05402103811502457, 0.0018855421803891659, 0.026730231940746307, -...
<p>e.g. estimate the probability that of 10 (ten) small businesses 3 (three) or less will fail in the first year of operation</p>
g62042
[ -0.015732700005173683, 0.00428152596578002, 0.012609331868588924, 0.009212011471390724, -0.027851352468132973, 0.018292617052793503, 0.06039378046989441, -0.005314947571605444, -0.03320130333304405, -0.029880108311772346, -0.011190653778612614, 0.01280936785042286, -0.002491103019565344, 0...
<p>I have 399 claim amount of data, i want to fit them using a Gamma distribution. I have done so in Matlab software However i am getting this as my result:</p> <blockquote> <blockquote> <p>[phat,pci] = gamfit(data)</p> </blockquote> </blockquote> <p>phat =</p> <p>1.0e+004 *</p> <pre><code>0.0001 2.8951 ...
g62043
[ 0.0506366603076458, -0.009344845078885555, -0.010381018742918968, -0.05302950739860535, 0.037459053099155426, 0.014563900418579578, 0.006587378680706024, 0.013536184094846249, -0.06576674431562424, -0.04774104431271553, 0.02747657708823681, 0.043616414070129395, 0.027449171990156174, 0.000...
<p>I have lots of time series with periods: day, week or month. With <code>stl()</code> function or with <code>loess(x ~ y)</code> I can see how trends of particular time series look. I need to detect if trend of time series is increasing or decreasing. How can I manage that?</p> <p>I tried to compute linear regressio...
g18911
[ 0.029458938166499138, -0.02307041361927986, 0.021049385890364647, -0.06627918779850006, 0.03609626740217209, -0.08180364221334457, 0.0608828030526638, -0.0465647354722023, -0.02891828492283821, -0.013488337397575378, -0.05210554972290993, 0.08547656983137131, 0.0903754010796547, 0.06739598...
<p>I am now working with Stata and I found out I have a unit root in my regression. How can I correct for this, because I can read everywhere what the test does but if you have a unit root, what to do next?? Sorry, it is one of my first times working with Stata so it is all really confusing..</p>
g62044
[ 0.05485101416707039, -0.07673624157905579, -0.003784423926845193, 0.029118288308382034, 0.05039037764072418, -0.062447115778923035, 0.033609211444854736, 0.04223494231700897, 0.002660503378137946, -0.0314905159175396, 0.00962079782038927, 0.07175182551145554, 0.006455640308558941, -0.00717...
<p>I have a sample of 72 individuals. 0 of these had the trait I'm investigating. How do I calculate the 95% CI when the proportion is 0%?</p>
g62045
[ 0.06999770551919937, -0.015947284176945686, 0.0013943867525085807, -0.011672732420265675, 0.02356942929327488, -0.00881792139261961, 0.031052682548761368, 0.03920138627290726, 0.0010612921323627234, -0.046908870339393616, 0.017390839755535126, 0.013361459597945213, -0.02079225517809391, -0...
<p>I have a dataset with a binary (survival) response variable and 3 explanatory variables (<code>A</code> = 3 levels, <code>B</code> = 3 levels, <code>C</code> = 6 levels). In this dataset, the data is well balanced, with 100 individuals per <code>ABC</code> category. I already studied the effect of these <code>A</cod...
g19142
[ 0.004888319410383701, -0.0663885846734047, -0.02187233418226242, -0.04579334333539009, 0.05166252702474594, 0.049665577709674835, 0.05244341492652893, 0.05310731753706932, -0.033241525292396545, -0.008392737247049809, -0.006225664168596268, 0.023227684199810028, 0.031796276569366455, 0.023...
<p>Suppose I have an ordered vector where the first element is the number of visits to a website in a given period of time by the unique IP with the highest number of visits, the second element is the number of visits by the unique IP with the second highest number of visits, and so on. I understand there may be per s...
g47042
[ -0.017809545621275902, 0.059115197509527206, -0.029734807088971138, 0.013683988712728024, -0.026512814685702324, -0.054720375686883926, 0.03444656357169151, -0.02330099791288376, -0.04966535046696663, -0.042383112013339996, 0.010228624567389488, -0.000627897388767451, 0.05886223912239075, ...
<p>I have a very simple data set consisting of three columns: Ground Truth Canopy Class, Method 1 Canopy Class and Method 2 Canopy Class. Each row in the columns represents the canopy class (i.e. 1 through 5). I have produced an error matrix in excel and calculated the overall accuracy and Khat (Figure 1). However, ...
g18914
[ 0.0012863018782809377, -0.0918443351984024, -0.00127211504150182, -0.015298674814403057, 0.015665166079998016, 0.001102808048017323, 0.01071155071258545, -0.0229919645935297, -0.06605056673288345, 0.018782740458846092, 0.011304979212582111, 0.02752513438463211, 0.0440029613673687, 0.013616...
<p>I have daily precipitation data for two locations over two years. I need to compare them to see if there is an annual difference (combining the two years of data), and if there is a difference in any particular month (a month is also the combination of the two years of data).</p> <p>Is this best analyzed using a 2 ...
g18915
[ 0.012529255822300911, -0.037084709852933884, 0.01804611086845398, -0.007309346925467253, -0.055410079658031464, 0.0019721975550055504, 0.046370185911655426, -0.025561735033988953, -0.028763964772224426, 0.001740445732139051, 0.05899723619222641, -0.004028881900012493, 0.03114381618797779, ...
<p>I've got a bunch of data from two samples (control and treated), each containing several thousand values which are to undergo significance testing in R. Theoretically, the values should be continuous, but due to rounding done by measurement software they aren't and they have got ties. The distributions are unknown a...
g11499
[ 0.00549585884436965, -0.032520897686481476, -0.01412449311465025, -0.03132692351937294, -0.021581050008535385, -0.057475969195365906, 0.020213723182678223, 0.03625565022230148, -0.018713226541876793, -0.0122305266559124, 0.03212929517030716, -0.004865980241447687, 0.01639649085700512, 0.00...
<p>First of all, I'm not a statistician, but I'm teaching myself some methods I require for a project I'm doing now. </p> <p>I have a 2D dataset of N observations. For the ith observation, the first entry is the estimated number of lines in the ith chapter of a book, and the second entry is the actual number of lines ...
g62046
[ 0.02916141040623188, -0.008380948565900326, 0.005348448641598225, -0.03152934089303017, -0.044601768255233765, 0.04103356972336769, -0.010853460058569908, 0.015084583312273026, -0.09287255257368088, -0.06338945031166077, 0.017196672037243843, -0.014390751719474792, 0.06494767963886261, 0.0...
<p>I have a time-series which is autocorrelated by construction, and might be heteroscedastic. I have calculated the sample mean of this time-series, and would like to calculate the t-statistic corresponding to the hypothesis that the mean of this time-series is zero. It is my understanding that since my time-series is...
g62047
[ 0.0013456030283123255, -0.01872417703270912, 0.014121443964540958, -0.025456948205828667, -0.01887490414083004, -0.026095189154148102, 0.030562469735741615, 0.021049421280622482, -0.025826312601566315, -0.006578600034117699, 0.0214934553951025, -0.009319772943854332, 0.07521143555641174, 0...
<p>I was discussing about the popularity of some terms and used google trends to conclude in the decrease of their popularity. </p> <p><a href="http://www.google.com/trends/explore#q=/m/01v0b8,%20/m/02s1yd,%20/m/01v0m4,%20/m/030fmv,%20/m/0l9nq&amp;cmpt=q" rel="nofollow">Here</a> is an exemple of the queries for some o...
g16073
[ -0.020069025456905365, 0.09945391863584518, -0.019965199753642082, -0.02187986671924591, 0.06907008588314056, 0.03928389772772789, 0.07024746388196945, 0.027791982516646385, -0.0037026256322860718, -0.015907812863588333, -0.0021323375403881073, 0.0346124991774559, 0.0849464163184166, 0.038...
<p>I've time and again <em>rejected</em> or <em>failed to reject</em> the null hypothesis. In the failure to reject case, you conclude that there isn't sufficient evidence for rejection and you "move on" (i.e., either gather more data, end the experiment etc.,)</p> <p>But when you "do" reject the null hypothesis, prov...
g62048
[ 0.05936029180884361, 0.02177155762910843, 0.010392800904810429, -0.00615569856017828, -0.03448227420449257, 0.011113914661109447, 0.036465708166360855, 0.019059401005506516, -0.0070431469939649105, -0.05880224332213402, 0.027873270213603973, 0.016683954745531082, 0.06693820655345917, 0.053...
<p>I've been looking for recommendations on whether it's better to use the sample standard deviation (SD) for a binomial distribution or use the analytic SD (or variance). It's for experiments with accuracy data so each subject contributes several binomial (correct or incorrect) responses resulting in an accuracy score...
g23096
[ 0.01666535809636116, -0.035041287541389465, 0.028051944449543953, 0.012483658269047737, -0.032514601945877075, -0.019510440528392792, -0.030733348801732063, 0.0028735832311213017, 0.009643941186368465, -0.021929873153567314, 0.06321291625499725, -0.04141252487897873, 0.04291851073503494, -...
<p>I'm building binomial proportion confidence intervals for a patient dataset containing the frequency of home nursing visits during the week prior to hospital admission. The freq. of home visit categories are integer values of 1, 2, 3,... and observations for a particular patient can be assumed to be independent from...
g62049
[ 0.03734339028596878, 0.07659217715263367, -0.007382582873106003, -0.07199475169181824, -0.0515529103577137, -0.07024601101875305, -0.006813602056354284, 0.04865741357207298, -0.07692954689264297, -0.01727556623518467, 0.034193914383649826, 0.0028422218747437, 0.020665839314460754, -0.06180...
<p>I have run an ECM in Stata, where my model has six variables, having found 3 cointegrating relationships.<br> When putting this table into a paper, what are the coefficients I need to report on each variable and where is the error correction term? Are there multiple error correction terms given that there are 3 coin...
g494
[ 0.057728949934244156, -0.07803934812545776, -0.011077136732637882, -0.052652932703495026, 0.08404362201690674, -0.03732847794890404, 0.03378525748848915, 0.046828124672174454, -0.031300876289606094, 0.013601825572550297, -0.088404580950737, 0.018459590151906013, 0.03371119871735573, 0.0040...
<p>How can I interpret the results if the inter-item correlation is negative while regression coefficient is positive? I have run correlation to ensure if I can work on regression. Where should be my point of discussion be focused? On the correlation or regression? </p>
g62050
[ 0.027706315740942955, -0.024211140349507332, 0.002112665446475148, -0.007577529177069664, 0.055141299962997437, 0.0345633402466774, 0.05664739012718201, 0.010218977928161621, -0.05281635373830795, -0.07573965936899185, -0.01195236761122942, 0.01646065153181553, -0.021138254553079605, -0.00...
<p>I have a set of data that is not ordered in any particular way but when plotted clearly has two distinct trends. A simple linear regression would not really be adequate here because of the clear distinction between the two series. Is there a simple way to get the two independent linear trendlines?</p> <p>For the re...
g21680
[ -0.018148230388760567, 0.009109696373343468, -0.009892169386148453, -0.0386366993188858, -0.025580311194062233, -0.04362434893846512, -0.019673574715852737, -0.001298312796279788, -0.06751763820648193, -0.050653863698244095, 0.01636653020977974, 0.033548351377248764, 0.04285351559519768, -...
<p>I am a little bit confused on what the assumptions of linear regression are.</p> <p>So far I checked whether:</p> <ul> <li>all of the explanatory variables correlated linearly with the response variable. (This was the case)</li> <li>there was any collinearity among the explanatory variables. (there was little coll...
g62051
[ 0.04187946394085884, -0.08417890220880508, -0.008070479147136211, 0.003944702446460724, -0.031037462875247, 0.030446644872426987, 0.029265915974974632, 0.012340082786977291, -0.027424566447734833, -0.025641988962888718, 0.0026012223679572344, 0.024894144386053085, -0.04206589609384537, 0.0...
<p>I am slightly new to writing functions in R. Here I have a basic function that searches for a pattern and returns the indexes of where the occurence occurs given a list dataset</p> <pre><code>#this functions takes a pattern and prints the indexes for the matches find_domain &lt;- function(pattern,list) grep(patter...
g62052
[ -0.00022028519015293568, 0.028503622859716415, -0.026505934074521065, -0.07358808070421219, -0.003604208817705512, -0.04350686073303223, 0.0704553872346878, 0.048226434737443924, -0.04362661764025688, -0.020192379131913185, -0.027400117367506027, -0.00593549432232976, 0.07953197509050369, ...
<p>I have collected observations (y variable) from people of various ages (x variable). Some people provided multiple data points (anywhere from 2-10), whereas others provided just one. I want to see if x is correlated with y. How would I account for the fact that some people gave more observations than others? This i...
g14544
[ 0.02971509099006653, -0.010880143381655216, -0.032259706407785416, -0.08534031361341476, 0.005335169844329357, 0.017014266923069954, 0.024673206731677055, 0.02503497339785099, -0.015104054473340511, -0.01784147508442402, 0.009543877094984055, -0.01423843763768673, 0.03894447535276413, 0.06...
<p>I am trying to do Bayesian posterior predictive checking, whereby I calculate the DIC for my fitted model, and compare to DIC from data simulated from the fitted model. I can get the DIC out of winBUGS, however I am not sure how to calculate the likelihood (for the DIC) outside of winBUGS (i.e., without fitting new ...
g48912
[ 0.009038054384291172, -0.05734258517622948, -0.011414659209549427, 0.0013303087325766683, -0.02169698290526867, 0.008400095626711845, 0.009977280162274837, 0.053837019950151443, -0.05342753231525421, -0.032849546521902084, -0.04089592397212982, 0.05240042135119438, 0.03395049273967743, 0.0...
<p>I have a regression model and I want to determine the relative importance of the predictors. I used the package <code>relaimpo</code> in r.</p> <p>The package says that 98.84% of the variance is explained by the model</p> <pre><code>Response variable: C Total response variance: 115.4857 Analysis based on 161187 ...
g62053
[ -0.000022086596800363623, -0.033026158809661865, -0.01964452490210533, -0.015694500878453255, 0.06788495928049088, -0.012823164463043213, 0.05413777753710747, 0.06778761744499207, -0.058292776346206665, 0.00980717595666647, -0.03979925811290741, 0.01552398968487978, 0.04016948118805885, -0...
<p>I am using the script <code>allfitdist</code> to find which distribution best fits my data according to the tests included (BIC, AIK etc...) - these all stem from the script using the <code>fitdist</code> function in the statistics toolbox.</p> <p>I manage to do this and get a nice historgram with the various distr...
g10013
[ -0.001521215308457613, -0.02875596284866333, -0.030384615063667297, -0.026559943333268166, -0.02166941948235035, -0.028164982795715332, -0.02191893197596073, 0.0552230030298233, -0.07143677771091461, -0.06261245161294937, 0.008974026888608932, 0.008262517862021923, 0.11783730238676071, -0....
<p>I have searched a lot, and I can only find tables that show critical values up to n=30. Can someone provide, or point me to, a simple method of estimating this value for different $\alpha$?</p>
g62054
[ 0.017072949558496475, 0.006611504126340151, -0.00401430344209075, -0.01864510588347912, -0.020992126315832138, -0.0026827198453247547, -0.02963346429169178, -0.012135555036365986, -0.035802438855171204, 0.0169614739716053, 0.0005282008787617087, -0.005487054120749235, 0.009187890216708183, ...
<p>I have seen asserted that the problem of computing the null distribution of Kolmogorov's $D_n^+$ statistic for a finite sample size maps onto the problem of computing the number of lattice paths that stay below the diagonal, and thus can be solved by the <a href="http://en.wikipedia.org/wiki/Bertrand%27s_ballot_theo...
g18941
[ -0.017309069633483887, 0.06700167804956436, 0.002648350317031145, 0.023006677627563477, -0.07533342391252518, -0.015164650045335293, -0.028871672227978706, 0.015543832443654537, 0.045181144028902054, 0.007622949313372374, -0.04397067800164223, 0.01852097176015377, 0.015165288932621479, 0.0...
<ul> <li>Is it possible to do 2-stage cluster analysis in R?</li> <li>Can anybody provide me resource on it?</li> </ul>
g18942
[ -0.028906049206852913, -0.023809676989912987, -0.017934350296854973, -0.0018911724910140038, -0.022237397730350494, -0.0592733770608902, 0.011338386684656143, 0.04768548160791397, -0.052773453295230865, -0.015913398936390877, 0.015680868178606033, 0.019083712249994278, 0.05902484059333801, ...
<p>I need a reality check if you will. I have a data set, where I know how many individual butterflies of two species co-occur at one meadow (not always, though). I have additional variables, for instance wet/dry meadow, intensely cultivated/not cultivated, percent of area around the meadow covered by wet or dry meadow...
g62055
[ -0.013928074389696121, -0.05452125892043114, -0.0030395688954740763, -0.02174706757068634, -0.016265682876110077, 0.003038511611521244, 0.08122305572032928, 0.01811770536005497, -0.043050240725278854, 0.043357230722904205, -0.04491637647151947, 0.03418866917490959, 0.013958755880594254, -0...
<p>Many academic papers focusing on statistical learning in the applied setting of finance train a model such that their parameter set, B, defines the relationship y(t) = B*x(t) + e(t)</p> <p>y could be a 0-1 coded response for an increase (or not) of the asset price at time t. Ignoring the details of the model my ...
g48923
[ -0.022728387266397476, 0.006961451843380928, -0.01605820842087269, -0.024837054312229156, 0.060004256665706635, -0.05102072283625603, 0.04624997079372406, 0.02457757107913494, -0.03943685442209244, -0.005221247207373381, -0.008947703056037426, 0.020700277760624886, 0.0939265713095665, 0.03...
<p>I am seeking to model the number of high tunnels on farms with 13 other factors. Factors include: lattitude, percent of the population with food access, percent of vegetable acres per county, proximity to the coast, percent direct sales, %of farms with a CSA program, %direct sales, etc. etc.</p> <p>I have been told...
g62056
[ -0.00810338370501995, 0.04716891050338745, -0.006062325555831194, 0.014596138149499893, -0.02078436315059662, -0.004938517231494188, 0.05882599577307701, 0.02021641470491886, -0.041846469044685364, 0.0308670774102211, -0.025766709819436073, -0.016669563949108124, 0.030963363125920296, -0.0...
<p>I have a table I want to convert into a graph (bar-graph or line-graph)</p> <p>The first column has fixed values. Twenty different values are simulated for these fixed values and kept in the next columns. I want to plot a graph of the fixed column against all the different twenty simulated columns.</p> <p>How do I...
g18943
[ 0.03875185549259186, 0.021297354251146317, -0.01204692479223013, -0.000759200076572597, 0.04418500140309334, -0.08170429617166519, 0.012727507390081882, -0.0187347661703825, -0.07137000560760498, 0.005683731287717819, -0.02009500004351139, 0.058081090450286865, 0.018828347325325012, -0.002...
<p>I am attempting to test the goodness of fit for a vector of count data to a binomial. To do so I am using the <code>goodfit()</code> function in the <code>vcd</code> package. When I run the function, however, it returns <code>NaN</code> for the p-value of the Chi-squared test. In my setup, I have a vector of coun...
g35887
[ 0.04393211007118225, 0.00019222809351049364, -0.007226190995424986, -0.07152817398309708, 0.014244653284549713, 0.02232811227440834, 0.0377943255007267, 0.004028805531561375, -0.09074988961219788, -0.02986212819814682, 0.001359101035632193, 0.05997752398252487, 0.0020969270262867212, -0.00...
<p>I am looking for a repeated measures version of the <a href="http://en.wikipedia.org/wiki/Logrank_test" rel="nofollow">Logrank test</a>. If I am correct, I am looking for an equivalent of the Friedman test for survival data.</p> <p>Any suggestions on where to look? (and R code will always be welcomed :) )</p> <p>...
g18946
[ -0.022685080766677856, -0.02851959504187107, -0.018322208896279335, -0.03896995633840561, 0.0055370209738612175, -0.042456597089767456, -0.017036788165569305, 0.01640233024954796, -0.019832443445920944, -0.009119442664086819, -0.04833362251520157, 0.022244768217206, 0.0059820180758833885, ...
<p>I have a somewhat of a repeated measure setup but wanted to check if repeated measure 1-way anova can be applied here (assuming underlying assumptions of normality, sphericity etc are met).</p> <p>Situation: time series data of N subjects self-reporting a binary variable (yes/no), and also providing a continuous me...
g19955
[ -0.031467270106077194, 0.0047581917606294155, -0.005803723353892565, -0.01793854683637619, -0.04234174266457558, -0.030999336391687393, 0.02127917669713497, -0.00839826837182045, -0.02621045522391796, -0.012907815165817738, -0.012675129808485508, 0.013518144376575947, -0.07079605758190155, ...
<p>I have a question about the interpretation of lower order interaction terms in the presence of a significant higher order interaction effect.</p> <p>Suppose I have a 2 (factor $A$) $\times$ 2 (factor $B$) $\times$ 2 (factor $C$) design where the highest order interaction ($A\times B\times C$) is significant and a l...
g62057
[ 0.03759889304637909, -0.009866960346698761, -0.0032442142255604267, -0.02271762117743492, 0.03432667627930641, -0.021357012912631035, 0.028249863535165787, 0.03389105945825577, -0.016287436708807945, -0.014394794590771198, -0.05745076760649681, 0.003767802147194743, -0.0246142465621233, -0...
<p>I am involved in a project where i need to construct some examples using non-negative Multivariate Gaussian Random variables(log-normal random variables). Part of the computation requires calculating the covariance matrices. Since i do not have any data and i am plucking numbers out of the air i was hoping if some o...
g18953
[ -0.0029226404149085283, -0.04413440078496933, 0.0037137428298592567, -0.035465214401483536, -0.004824968986213207, -0.030311711132526398, 0.043622590601444244, -0.014134395867586136, -0.010151545517146587, 0.044920288026332855, -0.027016768231987953, 0.011343325488269329, -0.0183811970055103...
<p>I have a two-state HMM and I am using Baum-Welch to estimate all the model parameters, including the Transition matrix. Then I use Viterbi to infer the optimal hidden state sequence.</p> <p>I am using such HMM to infer the hidden states, which are 1 or 0. However, currently the model gives me way more hidden stat...
g62058
[ 0.010208561085164547, -0.021788712590932846, 0.014246424660086632, 0.040795810520648956, -0.02268942818045616, -0.032318778336048126, -0.027731705456972122, 0.08230960369110107, -0.0004178357485216111, -0.015898557379841805, -0.012716498225927353, -0.005546735133975744, 0.02490886300802231, ...
<h2>Question</h2> <p>Values taken from adjecent windows in a sliding windows are corrolated. If I calculate a p-value from each window, how can I correct for the fact I have tested many windows, given that the windows aren't independent?</p> <h2>Details</h2> <p>I have data points (sequencing read start positions) th...
g21259
[ 0.01423142571002245, 0.014014831744134426, -0.029061410576105118, 0.021083826199173927, -0.016397658735513687, -0.021072644740343094, 0.023483464494347572, 0.05016468092799187, -0.04263235256075859, 0.0030593019910156727, 0.008426493965089321, 0.05292382091283798, -0.026016511023044586, 0....
<p>I have written an R script for obtaining bootstrapped standard errors in the linear regression setting.</p> <p>In practice, first in a model building step I select the final model to be applied at each bootstrapped sample (for simplicity suppose that it is a simple univariate linear model).</p> <p>Then I simulate ...
g62059
[ 0.001488233683630824, -0.019916485995054245, 0.0006919921142980456, 0.021094737574458122, 0.021149536594748497, -0.007200497668236494, 0.04034226015210152, 0.052579622715711594, -0.033533334732055664, -0.003945174161344767, 0.007100097369402647, 0.0531720295548439, 0.05232913792133331, -0....
<p>I need to carry out a hierarchical multiple regression. My data consists of one continuous dependent variable, 2 continuous predictor variables and a categorical IV with 3 levels.I need to assess whether an interaction effect occurs between each of the continuous predictor variables and the categorical IV in predict...
g62060
[ 0.02825290523469448, -0.005896998103708029, 0.003339007729664445, -0.010269894264638424, -0.0046537998132407665, -0.005742779932916164, 0.024923980236053467, 0.035100579261779785, -0.04954667389392853, -0.021597174927592278, -0.05815104395151138, 0.029642917215824127, -0.014105282723903656, ...
<p>Suppose I am on a node in a $regression$ tree and I am using running estimates of $\sum_{i \in Region_1} (y_i - mean(y_i)_{Region1})^2$ (and the same for Region 2) to determine whether to split the node at feature $X_j$ for large cardinality $|\{X_j\}| := p$, where $p/3$ is the number of randomly sampled features.</...
g62061
[ -0.004933178424835205, -0.011132990941405296, -0.012943747453391552, -0.03552119806408882, -0.04436777904629707, -0.05908718332648277, 0.03774898126721382, 0.031516533344984055, -0.018758432939648628, 0.007444628048688173, -0.026165850460529327, 0.0035331298131495714, 0.03490258380770683, ...
<p>I have two non-normally distributed variables (positively-skewed, exhibiting ceiling effects). I would like to calculate the correlation coefficient between these two variables. Due to the non-normal distribution, I used Spearman's rank-order correlation, which returns a correlation coefficient and a significance ...
g48936
[ 0.016249608248472214, 0.002043775748461485, -0.010882807895541191, -0.03644198179244995, 0.027650805190205574, 0.01814451441168785, 0.03557815030217171, 0.0011661441531032324, -0.00748081412166357, 0.009935801848769188, 0.01467545423656702, 0.023145871236920357, -0.042723216116428375, 0.01...
<p>I assume this question is fairly simple but I haven't been able to find a way yet.</p> <p>I have a signal that I sample with 256 measures (might be 1024 as well) in live. The signal usually approaches a square like this: <img src="http://i.stack.imgur.com/XsX7w.png" alt="enter image description here"></p> <p>My go...
g62062
[ 0.0378664955496788, -0.03577299416065216, -0.013643944635987282, -0.05060528591275215, 0.040291398763656616, -0.06209838017821312, 0.023454565554857254, 0.020215481519699097, -0.037493638694286346, -0.028259528800845146, -0.08651909977197647, 0.0314299613237381, 0.032695382833480835, 0.032...
<p>I have a set of data where for every new point $x$ I need to know how probable this point was, given the past data.</p> <p>I can assume the data follows a linear model.</p> <p>I know I can find a simple linear regression and use $ \sigma^2 = \frac{1}{N-2}\sum{e_i^2} $ to get the variance of the error term. Then us...
g18959
[ 0.022784991189837456, -0.05526585504412651, -0.02288065291941166, 0.020684977993369102, -0.01462921779602766, 0.0026270386297255754, 0.03071468137204647, 0.030412668362259865, -0.0646238699555397, -0.04165424779057503, -0.012739190831780434, 0.020891625434160233, 0.02075657807290554, -0.01...
<p>I am working on the Random Forest prediction, with the focus on the importance of predictor variables, and have a question regarding understanding of mtry and the actual usage of variables in the trees of Random Forest in R (package randomForest). </p> <p>I have a sample with over 1000 observations and a response v...
g62063
[ -0.04469287395477295, -0.04925175756216049, 0.011314637027680874, 0.003958729561418295, 0.007072902284562588, -0.07694850116968155, 0.01486329548060894, 0.04734133183956146, -0.0038065481930971146, 0.016272377222776413, -0.006080875638872385, 0.01516815461218357, 0.007572981528937817, 0.05...
<p>I am confused with with the Poisson result and Exponential interpretation for spare part requirement analysis. I try to calculate the required number of spare parts for a disposable remove-replace item.</p> <p>From a real life case; if:</p> <ol> <li>warranty period for a part is $t=400 hr$</li> <li><strong>constan...
g62064
[ 0.015599467791616917, -0.003976805135607719, -0.01314107608050108, -0.03381495177745819, -0.011309493333101273, -0.009298299439251423, -0.008674105629324913, -0.020602736622095108, -0.05493791773915291, 0.04307327792048454, -0.07806241512298584, -0.0037967562675476074, -0.01717475615441799, ...
<p>Given</p> <ul> <li>a dataset with instances $x_i$ together with $N$ classes where every instance $x_i$ belongs exactly to one class $y_i$</li> <li>a multiclass classifier</li> </ul> <p>After the training and testing I basically have a table with the <em>true</em> class $y_i$ and the <em>predicted</em> class $a_i$ ...
g62065
[ -0.008665531873703003, -0.014483977109193802, -0.004474299028515816, -0.013355474919080734, -0.019390936940908432, -0.04877758398652077, 0.01887666992843151, 0.06856377422809601, 0.02545662224292755, -0.03914743661880493, -0.01446019858121872, 0.011882293969392776, 0.019806714728474617, 0....
<p>I am doing ML at my university, and the professor mentioned the term Expectation (E), while he was trying to explain us some things on Gaussian processes. But from the way he explained it, I understood that E is the same as the mean μ. Did I understood right?</p> <p>If it is the same, then do you know why both symb...
g62066
[ -0.0029619361739605665, -0.010853294283151627, 0.008483177050948143, -0.027431584894657135, 0.021289445459842682, 0.03330698236823082, -0.006801675073802471, 0.05484409257769585, -0.0434143990278244, -0.035169318318367004, -0.011425992473959923, 0.06747209280729294, 0.045354973524808884, 0...
<p>I have a question concerning a claim I read in statistics books concerning the applicability of the t-distribution to compute confidence intervals for large $n$ if the data is not normally distributed (but has finite variance). </p> <p>The statement is that for small $n$ one should check the Gaussian assumption on ...
g18961
[ 0.02983076684176922, 0.03334495797753334, -0.034815337508916855, -0.03527187928557396, -0.04196909815073013, 0.054831452667713165, 0.030592408031225204, 0.057954054325819016, -0.053467053920030594, -0.03677235543727875, 0.0010378062725067139, -0.036680709570646286, 0.01812892220914364, -0....
<p>When describing the variance of a sample data set, we can use <code>variance</code> and <code>standard deviation</code>. <code>standard deviation</code> is the square root of <code>variance</code>.</p> <p>Sometimes, I also heard <code>standard error</code> What are the difference between <code>standard error</code...
g49377
[ 0.034737758338451385, -0.04850058630108833, -0.017972679808735847, -0.0012603298528119922, -0.013298898935317993, 0.005246681626886129, 0.02192613296210766, 0.031667400151491165, -0.05148269981145859, -0.0645935982465744, 0.011416292749345303, 0.029928026720881462, 0.003627135418355465, -0...
<p>I got completely different results from lmer() and lme()! Just look at the coefficients' std.errors. Completely different in both cases. Why is that and which model is correct?</p> <pre><code>&gt; mix1c = lmer(logInd ~ 0 + crit_i + Year:crit_i + (1 + Year|Taxon), data = datai) &gt; mix1d = lme(logInd ~ 0 + crit_i +...
g18963
[ -0.012570587918162346, -0.10793613642454147, 0.006283774506300688, -0.010678158141672611, 0.008545752614736557, 0.048568498343229294, 0.08871034532785416, 0.0039017992094159126, -0.05722646415233612, 0.0017873157048597932, 0.0018749712035059929, 0.026133662089705467, 0.01981094852089882, -...
<p>I have a panel data (21 years) and I am trying to figure out whether I should use regression discontinuity design (RDD) or panel cointegration. I do have a randomness in the assignment variable and so I don't have any problem using the RDD; I can examine the causality (local average treatment effect). My questions a...
g62067
[ 0.06247084587812424, -0.0769655704498291, -0.022985592484474182, -0.03860655054450035, -0.0041079213842749596, -0.0005071241757832468, 0.06973131746053696, 0.031673941761255264, -0.03685537725687027, -0.03017561137676239, -0.012425391003489494, 0.04641680046916008, -0.010494538582861423, 0...
<p>I am trying to calculate confidence intervals on the second derivatives of a GAM curve. After estimating the derivatives, the idea is to then use function <code>boot()</code> to get confidence intervals, but I am unsure where to apply it along the way, or exactly what statistic(s) to bootstrap.</p> <p>The following...
g62068
[ -0.006854051724076271, 0.0038058117497712374, 0.0070082079619169235, -0.0058821761049330235, 0.005918643902987242, 0.020724553614854813, 0.051419902592897415, -0.004046986810863018, -0.05820103734731674, -0.06692960858345032, -0.027384357526898384, 0.07168383151292801, 0.07304520905017853, ...
<p>I just started to mt MS program on Machine Learning subject. I am curious about the correct flow of the subjects have to be learnt to be proficient on ML subject. In addition can you suggest some resources about?</p> <p>Thanks...</p>
g18965
[ -0.004816258791834116, -0.04571416601538658, 0.03826294094324112, 0.00970205944031477, -0.010059704072773457, 0.024201080203056335, 0.009615612216293812, 0.03153196722269058, -0.04311918094754219, -0.037513941526412964, 0.03154342994093895, 0.03974614664912224, 0.10769734531641006, -0.0052...
<p>I am trying to perform a CFA on data (10 indicators: $n=300$) that is severely non-normal but continuous (counts of a clinical behavior over a period of weeks): many cases are at zero, a fair few between 1 and 30, and a handful at values sometimes much higher (even $&gt; 1000$). I am using lavaan in R with the MLM e...
g62069
[ 0.04521888867020607, -0.027891647070646286, 0.008578632958233356, -0.013476391322910786, 0.0034216027706861496, 0.011372271925210953, 0.045403994619846344, -0.0031486782245337963, -0.0321141816675663, 0.0031723645515739918, 0.023312382400035858, -0.00225212424993515, 0.013074374757707119, ...
<p>The R package <a href="http://cran.r-project.org/web/packages/dlm/index.html" rel="nofollow">dlm</a> implements filtering and smoothing (<code>dlmFilter</code> and <code>dlmSmooth</code>) for models with regression effects, but forecasting is not (yet) available for these models:</p> <pre><code>mod &lt;- dlmModSeas...
g62070
[ -0.00043120025657117367, -0.04312475398182869, -0.019309179857373238, -0.05157073959708214, 0.011844057589769363, -0.06443299353122711, 0.004058777820318937, 0.03537995368242264, -0.0382838100194931, -0.03287096321582794, -0.027496645227074623, 0.05326514318585396, 0.05603668838739395, 0.0...
<p>I am a stats newbie, so apologies in advance if I'm asking a braindead question. I have searched for answers to my question, but I find that many of the topics are either too specific, or quickly go beyond what I currently comprehend.</p> <p>I have some simulation work that includes large datasets which become infe...
g62071
[ 0.027106873691082, 0.045012328773736954, 0.004366620909422636, -0.05806027725338936, -0.01281326450407505, -0.02170337550342083, 0.017843665555119514, 0.012425430119037628, -0.014813847839832306, -0.030569251626729965, 0.005044068209826946, 0.019277622923254967, -0.002935181139037013, -0.0...
<p>I am currently working on a RandomForest based prediction method using protein sequence data. I have generated two models first model (NF) using standard set of features and the second model (HF) using hybrid features. I have done Mathews Correlation Coefficient (MCC) and Accuracy calculation and the following are m...
g62072
[ 0.010315444320440292, -0.08410225063562393, 0.019981274381279945, 0.010082964785397053, 0.03572060167789459, 0.01608237810432911, 0.0031615043990314007, 0.05710858851671219, -0.014947367832064629, -0.055298734456300735, 0.05084269866347313, 0.007062094751745462, 0.017665233463048935, 0.002...
<p>This is a follow-up of the question I posted <a href="http://stats.stackexchange.com/questions/5093/statistical-validation-of-randomforest-models">earlier</a>. </p> <p>I am assessing the two RF models which are generated using two different set of features </p> <blockquote> <p>NF - Test_Accuracy > Training accur...
g18967
[ -0.016378894448280334, -0.03543531522154808, 0.018578307703137398, -0.017857981845736504, 0.023571284487843513, -0.01662394404411316, 0.03289302811026573, 0.026913035660982132, -0.04784921556711197, 0.003652009414508939, 0.006739464122802019, -0.020540382713079453, -0.008853141218423843, 0...
<p>Consider the following code:</p> <pre><code>require(zoo) data &lt;- read.csv(file="summary.csv",sep=",",head=TRUE) data = zoo(data$compressed, as.Date(data$date)) data &lt;- aggregate(data, identity, tail, 1) days = seq(start(data), end(data), "day") data2 = na.locf(merge(data, zoo(,days))) par(bty = 'n') plot(dat...
g47481
[ 0.001954389736056328, 0.014150559902191162, -0.010247280821204185, -0.09261483699083328, -0.005945765879005194, -0.02780342660844326, -0.03732345253229141, 0.0033314204774796963, -0.08354265987873077, -0.01486431248486042, -0.009465707466006279, 0.03015952557325363, 0.07147743552923203, -0...
<p>I'm using the following code to insert vertical lines in a timeseries plot:</p> <pre><code>abline(v=as.Date("2007-09-19"),col="red",lty=2) abline(v=as.Date("2008-03-10"),col="red",lty=2) abline(v=as.Date("2008-04-28"),col="red",lty=2) abline(v=as.Date("2009-08-07"),col="red",lty=2) </code></pre> <p>But I would rat...
g18970
[ 0.022183319553732872, 0.008610758930444717, 0.0019568942952901125, -0.08543255925178528, -0.010913302190601826, 0.03922634571790695, 0.01746879331767559, -0.08388025313615799, -0.05815434828400612, -0.03153117746114731, 0.05818351358175278, 0.06986170262098312, 0.04440353065729141, 0.00771...
<p>They all seem to represent random variables by the nodes and (in)dependence via the (possibly directed) edges. I'm esp interested in a bayesian's point-of-view.</p>
g18974
[ -0.030573783442378044, -0.008603891357779503, -0.03266293555498123, -0.05980983003973961, 0.01327395811676979, -0.060793738812208176, 0.021231338381767273, -0.04109260067343712, -0.029034625738859177, 0.005402177106589079, -0.0093742860481143, 0.023187575861811638, 0.0508020780980587, 0.04...
<p>My (very basic) knowledge of the Tobit regression model isn't from a class, like I would prefer. Instead, I have picked up pieces of information here and there through several Internet searches. My best guess at the assumptions for truncated regression are that they are very similar to the ordinary least squares (OL...
g62073
[ 0.011618063785135746, -0.029430372640490532, 0.01601587049663067, -0.055471133440732956, 0.020656706765294075, -0.005114768631756306, 0.02179625630378723, 0.013400138355791569, 0.005351189523935318, -0.026802580803632736, -0.03049258328974247, 0.038223229348659515, 0.05546250939369202, -0....
<p>I'm implementing PCA using eigenvalue decomposition in matlab. I know matlab has PCA implemented, but it helps me understand all the technicalities when I write code. I've been following the guidance from <a href="http://books.google.com/books?id=bXzAlkODwa8C&amp;lpg=PA647&amp;dq=eigenvalue%20decomposition&amp;pg=PA...
g62074
[ 0.005144511349499226, -0.04355406388640404, 0.006023299880325794, -0.05870572105050087, 0.033731505274772644, -0.05849667638540268, 0.06132480874657631, 0.010371506214141846, -0.07874861359596252, -0.011042415164411068, 0.018454376608133316, -0.014026098884642124, 0.03360371291637421, 0.03...
<p>I built a classification model (Logistic Regression) in order to classify data in Fraud or Not Fraud. This data is related with online CNP (Card Not Present) transactions and after choosing some parameters that seemed to be related with fraud, I tested the model. For this I used a training set of 225000 examples, an...
g62075
[ 0.009231042116880417, -0.03761332854628563, -0.0028055130969733, 0.022735506296157837, 0.060379430651664734, -0.009317003190517426, 0.025003254413604736, 0.031238170340657234, -0.0176463071256876, -0.023405544459819794, -0.0032591759227216244, 0.05315518006682396, 0.04602566733956337, -0.0...
<p>I want to cluster a graph using the FCM algorithm, I used the adjacency matrix of the graph as the data, and the "Euclidean" distance as metric. The problem is that the adjacency matrix is full of zero's (depends actually on the degree of the node) and my network is a kinda huge more than 2000 node. For the results...
g62076
[ 0.027750123292207718, 0.042953357100486755, -0.005621822085231543, -0.008647240698337555, 0.03547556325793266, -0.038618795573711395, 0.004581338260322809, 0.008054697886109352, -0.01173133123666048, -0.005701316054910421, 0.034816157072782516, 0.0018394422950223088, 0.06364618241786957, -...
<p>Suppose you have N individuals you would like to test. You test at the same time for two categorical conditions where condition one could be A,B or C and condition 2 could be W,X,Y,Z. You test every individual n for every combination of these two conditions and the result is a dependent variable:<br> --> So basicall...
g62077
[ -0.0035180042032152414, -0.02148955501616001, -0.008289309218525887, -0.002738688141107559, 0.007024811580777168, 0.006042431574314833, 0.02408650703728199, 0.00596585450693965, -0.06076154112815857, 0.012002900242805481, -0.0010906201787292957, 0.023783933371305466, -0.0436575785279274, 0...
<p>I am currently working on two marine species distribution modelling and also on their overlap distribution. For this I use a binomial logistic regression model (GLM) with response being, respectively, presence/absence species1, presence/absence species2, presence/absence overlap. My question concerns my first result...
g62078
[ 0.04813182353973389, -0.10088831931352615, 0.024899689480662346, -0.032530996948480606, 0.0210136566311121, 0.09888444095849991, 0.05724019929766655, -0.017571598291397095, -0.04712166637182236, 0.011411797255277634, 0.050163790583610535, 0.00968716386705637, 0.0698428526520729, 0.02748552...
<p>I play a car racing video game on my tablet computer and I have collected data from 224 races. In the game, two cars are matched up head-to-head and race over a quarter-mile. I would like to determine the relative impact of certain factors on the likelihood of winning the race.</p> <p>A data file is available at ...
g62079
[ -0.004119465127587318, -0.0064930482767522335, -0.018061570823192596, -0.06489250808954239, 0.034865301102399826, -0.0383220873773098, 0.039751894772052765, -0.0036149993538856506, -0.09979525208473206, 0.011368751525878906, 0.021478764712810516, 0.0016997354105114937, 0.06579003483057022, ...
<p>I had a discussion with a friend of mine about what is the best course of action in the following Yahtzee scenario:</p> <p>The first throw with 5 dice results in the following values:</p> <pre><code>1, 3, 4, 5, X, with X = 3, 4 or 5 </code></pre> <p>Based on probability, what will be the best decision to make to ...
g62080
[ 0.0245206281542778, -0.024527857080101967, 0.010995429940521717, -0.0424562469124794, -0.02320215478539467, 0.011710179969668388, 0.0170128233730793, -0.02477146126329899, -0.06965553015470505, -0.041194505989551544, -0.0054782978259027, -0.005861151032149792, 0.05500147491693497, 0.065650...
<p>Please help me about this question:</p> <p>$$X\sim N(13,4) $$ </p> <p>$$P ( 20-d &lt; X &lt; 20+d ) = 0.998 $$ </p> <p>I have trouble finding $d$.</p>
g18989
[ 0.021668294444680214, 0.061000991612672806, -0.03233131766319275, -0.063724085688591, -0.009486401453614235, -0.04427095875144005, 0.034184735268354416, -0.04176986962556839, 0.010722970589995384, -0.03816087916493416, -0.07256586104631424, 0.024610191583633423, -0.006890208926051855, -0.0...
<p>For a given set of features (say with dimension a) and for a given set of labels (say m labels), how to relate the given features with the weight vector of the SVM in general? Will it be equal to product of the two dimensions always, or is it required to find the dimensions of the both the feature space and the labe...
g18990
[ -0.007239705882966518, -0.014388302341103554, 0.0005136537365615368, -0.015135267749428749, -0.022795159369707108, 0.011804494075477123, 0.002019090810790658, 0.004670196212828159, -0.07927113026380539, -0.020200015977025032, -0.003141416236758232, -0.005793568212538958, 0.05137209594249725,...
<p>I believe that independent variables $X_1,X_2$ affect the dependent variable $Y$ through a latent variable $Z$ such that $$ \begin{align} Y &amp;= \beta_0 + \beta_1Z \\ Z &amp;= \operatorname{Logit}^{-1}(\beta_2X_1 + \beta_3X_2) \\ \\ Y &amp;= \beta_0 + \beta_1\operatorname{Logit}^{-1}(\beta_2X_1 + \beta_3X_2)...
g62081
[ -0.03304275497794151, -0.009880044497549534, -0.01718784309923649, 0.008556272834539413, 0.01637423411011696, -0.024876553565263748, 0.00874649453908205, -0.004103755112737417, -0.026794323697686195, 0.01617243140935898, -0.07185795903205872, 0.09613506495952606, -0.05026306211948395, 0.01...
<p>I'm trying to estimate a specific point in a bimodal distributions, It's the point that I indicated in my picture with the A. <img src="http://i.stack.imgur.com/YQhXE.png" alt="enter image description here"></p> <p>As example we can generate a mixture of guassian and then try to determinate the point A(x,f(x)).</p>...
g18992
[ 0.026174964383244514, -0.008167899213731289, -0.010447995737195015, -0.10866759717464447, 0.031524501740932465, -0.06729157269001007, 0.016543276607990265, 0.020150329917669296, -0.051956743001937866, -0.018303941935300827, -0.03156100958585739, 0.04621649160981178, 0.0891326516866684, 0.0...
<p>Apologies for what is probably a very basic question. I have looked around both here and in the usual places and haven't had any luck.</p> <p>I have read that there are at least two methods for linearly transforming data so that you can give your distribution a certain desired standard deviation. What are they and ...
g62082
[ 0.034308984875679016, 0.0005501053528860211, 0.005118087865412235, -0.03611834719777107, -0.025999991223216057, 0.001970127457752824, -0.035245638340711594, 0.014690899290144444, -0.04225648194551468, -0.053813718259334564, 0.007899726741015911, -0.02180846408009529, 0.09667405486106873, -...
<p>I wonder if someone can help me with an ANCOVA covariate question? Perhaps you may know the answer to my problem.</p> <p>Subjects were assigned to a treatment or control group, and I measured a (continuous) dependent variable. There is also a covariate, and it is continuous. But the covariate is not independent for...
g62083
[ 0.015594267286360264, -0.03002035990357399, -0.0065964339300990105, -0.05770638585090637, -0.01992715708911419, 0.04741361737251282, 0.03881422430276871, -0.0034267869777977467, -0.03167498856782913, 0.036135025322437286, 0.03602002188563347, 0.004776375368237495, 0.0029375599697232246, 0....
<p>In statistics we can calculate a mean of a sample and the standard error of the mean. Let's say the mean of a sample is 2 and the standard error 1.5. If we repeatedly sampled from this population, it would be expected that the average distance of the sample mean from the population mean is 1.5. Up until now I think ...
g18996
[ 0.006205417215824127, -0.0036670721601694822, -0.012438113801181316, -0.03083203174173832, 0.005511553026735783, -0.03234785422682762, -0.015145691111683846, 0.022537175565958023, 0.00897624809294939, -0.05797603353857994, -0.02418767660856247, 0.005774769466370344, 0.016057195141911507, -...
<p>Suppose that we know that captured data follow a particular distribution.</p> <p>We have 10 sample. 9 of them are close to the supposed distribution but the last sample seems to be very distant, or event "abberant".</p> <p>What is the term to use to qualify this sample ? Maybe "outlier sample" ?</p> <p>Thank you ...
g62084
[ 0.057932738214731216, -0.02801559679210186, -0.004601094406098127, -0.08561691641807556, 0.0035687522031366825, 0.008064070716500282, -0.023390913382172585, 0.01995803229510784, 0.006504879333078861, -0.04292989522218704, -0.0002153534587705508, 0.045448772609233856, 0.05081520602107048, -...
<p>I want to measure the accuracy of my GPS Receiver module. The real coordinates are obtained from the Google Maps, and the actual received coordinates are the ones that the GPS receiver received. I tried searching for statistical tools that can somehow support my findings. I tried using Chi-square test in Microsoft E...
g583
[ -0.02995685674250126, 0.009970617480576038, 0.009406359866261482, -0.02331354096531868, 0.03122706338763237, -0.009203125722706318, 0.01830936037003994, 0.09066180884838104, 0.0008573556551709771, -0.025969592854380608, -0.011201239190995693, -0.0033342831302434206, 0.0678112581372261, -0....
<p>Just need to check the answer for the following question:</p> <p><strong>Question</strong><br> Suppose $X$ and $Y$ are two independent standard normal variables:</p> <p>$X$ ~ $N(0,1)$<br> $Y$ ~ $N(0,1)$<br></p> <p>What is the distribution of $X + Y$ ?</p> <p><strong>My Working</strong><br> $X+Y$ ~ N($\mu_1 + \mu...
g18998
[ 0.030064865946769714, -0.006578241474926472, 0.009537865407764912, 0.009910509921610355, -0.02350671961903572, -0.016590531915426254, -0.030370643362402916, -0.007360150571912527, 0.00026194658130407333, 0.011577434837818146, 0.011754629202187061, 0.07578691095113754, -0.04671996459364891, ...
<p>Suppose we have two patient groups, healthy and ill patients, and we measure the chemical concentrations of multiple chemicals. Now we want to determine which chemical concentrations are different for the two groups. </p> <p><strong>Can we just apply a separate student T-test for each of the chemicals?</strong></p>...
g49007
[ -0.020583005622029305, -0.008660441264510155, 0.012491703033447266, -0.05502009764313698, -0.004920531064271927, -0.018945762887597084, -0.010391898453235626, 0.056631091982126236, -0.00028306766762398183, -0.0133657893165946, 0.016628427430987358, 0.012231612578034401, 0.040120795369148254,...
<p>This must be a very basic question, but I'm trying to do a 2-way repeated measures ANOVA (in Statistica and/or SPSS), and was wondering:</p> <ol> <li><p>in what way to (re)structure my data so it is most flexible for further analyses?</p></li> <li><p>what way to go in Statistica or SPSS? (univariate GLM?)</p></li> ...
g18999
[ 0.0035173736978322268, -0.03880662843585014, -0.017286576330661774, -0.062190327793359756, -0.008016514591872692, -0.015409795567393303, -0.01813158206641674, -0.01392810046672821, -0.02810751274228096, -0.015407181344926357, 0.006746993865817785, 0.016514061018824577, 0.021625805646181107, ...
<p>I'm trying to use limited data across a range of variables to make predictions. There are ten variables and each subject has three of the ten variables defined. It's approximately random which three variables each subject has defined, but not completely. </p> <p>If each subject had all ten variables defined I'd kno...
g19003
[ 0.028784096240997314, -0.04846486449241638, 0.0071043758653104305, -0.0722946971654892, 0.00817028060555458, -0.025698238983750343, -0.027032051235437393, 0.028484830632805824, -0.00993825402110815, -0.05104280263185501, -0.024837926030158997, 0.0014461869141086936, -0.004460301715880632, ...
<p>I am trying to calculate the standard deviation of the sum X = A + B.</p> <p>A and B are mean values, and I do not have access to the source data.</p> <p>A is 0.46 with an SD of 0.014 (SDa) and B is 0.375 with an SD of 0.018 (SDb).</p> <p>Using SPSS and a different dataset measuring A and B in a different populat...
g62085
[ 0.017041370272636414, -0.0483265221118927, -0.0033874751534312963, -0.024724503979086876, -0.06852554529905319, 0.013961943797767162, -0.0032688600476831198, 0.0047430177219212055, 0.000051994815294165164, -0.011921091005206108, 0.021188629791140556, 0.04288828372955322, 0.04708373174071312,...
<p>How to understand the relationship between hypothesis test and confidence interval?</p>
g49634
[ 0.04381151869893074, 0.014336940832436085, -0.030174333602190018, 0.06273153424263, 0.0014576027169823647, 0.08182224631309509, 0.015628956258296967, 0.031013688072562218, -0.017506111413240433, -0.06498347222805023, 0.02083393931388855, 0.05268152058124542, 0.03024640679359436, -0.0033890...