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<p>Two Groups, A &amp; B, undergo same intervention. Group A (n=20). Group B (n=10). The only outcomes are symptomatic or asymptomatic. After the intervention, 4/20 people in group A are asymptomatic. In Group B 6/10 are asymptomatic. Is this statistically significant (i.e. p &lt;0.05).</p>
g61405
[ -0.041561778634786606, 0.00430328631773591, 0.008553819730877876, -0.002258380176499486, 0.033747851848602295, -0.023362956941127777, 0.0325765460729599, 0.061305414885282516, 0.028663070872426033, -0.00563710555434227, 0.04053647071123123, 0.03970368951559067, -0.017222287133336067, 0.007...
<p>There's a problem I am struggling to solve, if anything because I can't find the right angle from which to attack it. It's basically a fitting problem, and possibly a topological one, although I'm not sure of how to find a similar example.</p> <p>It goes like this: There's an experimental data set and a model to s...
g61406
[ 0.04360456392168999, -0.004361647181212902, 0.002561395987868309, -0.06797223538160324, 0.005541869904845953, -0.03952796012163162, -0.032780904322862625, 0.007659219205379486, -0.029608601704239845, 0.009133541956543922, 0.038329239934682846, 0.010909048840403557, 0.10496246814727783, -0....
<p>Given a dataset: </p> <pre><code>x &lt;- c(4.9958942,5.9730174,9.8642732,11.5609671,10.1178216,6.6279774,9.2441754,9.9419299,13.4710469,6.0601435,8.2095239,7.9456672,12.7039825,7.4197810,9.5928275,8.2267352,2.8314614,11.5653497,6.0828073,11.3926117,10.5403929,14.9751607,11.7647580,8.2867261,10.0291522,7.7132033,6.3...
g47761
[ 0.03184383735060692, -0.027751490473747253, -0.009669385850429535, -0.07207848876714706, -0.0014443789841607213, -0.03042486682534218, 0.02725798636674881, -0.02620781771838665, -0.06686902046203613, -0.022796249017119408, -0.015106065198779106, -0.03100087307393551, 0.02076069638133049, -...
<p>There are 26 participants who have participated in my research. Each participant treated with a lab module (Hands on Robotics Session). Now each participant will be evaluated using a rubric on scale of Excellent, Good, Fair and Poor.</p> <p>For my research i want to evaluate the following questions:</p> <p>Questio...
g61407
[ 0.010397232137620449, 0.04575418680906296, 0.00986681692302227, -0.04967169836163521, 0.06398855894804001, -0.004829689860343933, 0.008621790446341038, 0.03214077278971672, 0.0035835346207022667, -0.001547285239212215, 0.05977502465248108, 0.0027329344302415848, 0.04960167035460472, 0.0298...
<p>I have a data set that has been divided into $n$ data subsets.</p> <p>I am sampling from each of these subsets and getting a tuple consisting of mean, variance, confidence and number of sampled points used.</p> <p><strong>How can I combine these results?</strong></p> <p>I do not know how other than a simple funct...
g61408
[ -0.021308187395334244, -0.018673069775104523, -0.006519983522593975, -0.005024854093790054, 0.017775066196918488, 0.0286876168102026, -0.05405982583761215, 0.02934008277952671, -0.001560075907036662, -0.07035181671380997, -0.009758575819432735, -0.022781986743211746, 0.04155902564525604, -...
<p>I'm working on a survival analysis project where it would be useful to visualize everyone's followup time and event times. The data is made up of an ID, which of two possible events they had (A or B), and the time at which they had the event as well as whether or not they are interval censored. Non-censored individu...
g17978
[ 0.010645893402397633, -0.04194183647632599, -0.0027460267301648855, -0.009870861656963825, -0.035000886768102646, -0.03939088433980942, 0.022080903872847557, -0.01123482920229435, -0.04671835899353027, 0.040693722665309906, 0.037441056221723557, -0.0013162868563085794, 0.05744422227144241, ...
<p>I'm working on a HW question in which I'm using the importance sampling method to estimate $E(X)$ where $X$ is distributed as standard Laplace. To do so, I choose my proposal density to be a standard normal. I successfully wrote my code and my estimate is very reasonable. In part of the question I've been asked that...
g3735
[ -0.024093620479106903, 0.030476991087198257, 0.01282487716525793, -0.06549228727817535, -0.013669390231370926, 0.012354427017271519, -0.0437023863196373, -0.017109930515289307, -0.046893179416656494, 0.051335301250219345, 0.0004401741025503725, 0.014539454132318497, -0.007174984086304903, ...
<ul> <li>Is linear regression only suitable for variables with a normal<br> distribution?</li> <li>If so, is there an alternative nonparametric test to test mediation or moderation? </li> </ul>
g61409
[ 0.03163347765803337, -0.010149461217224598, -0.013215364888310432, -0.03976529464125633, -0.042123738676309586, -0.03270834684371948, 0.01029225718230009, -0.006541895214468241, 0.02188369445502758, -0.0529395155608654, -0.006992004346102476, -0.0001108164869947359, -0.016338752582669258, ...
<p>In testing gender difference on the relationship between variable A and B, </p> <ul> <li>A is the covariate (or independent variable)</li> <li>B is the dependent variable</li> <li>Gender is the factor</li> </ul> <p>As I understand it, if there is a significant interaction between the covariate and factor, then the...
g17982
[ 0.027884555980563164, -0.002657449571415782, 0.015551802702248096, -0.07842455059289932, -0.009865900501608849, 0.053797315806150436, 0.05450835078954697, -0.04073292762041092, -0.05545542761683464, 0.014592687599360943, 0.005347607657313347, 0.04543626308441162, 0.0032376227900385857, 0.0...
<p>I would like to make a prediction for a (new) subject to have a certain outcome given the historical data and the model:</p> <pre><code>glm(outcome ~ age + treatment + history, family=binomial, ...) </code></pre> <p>however in the historical data that will be fitted by the model, I have some sort of repeated meas...
g61410
[ 0.021229693666100502, -0.021512338891625404, 0.018428122624754906, -0.03178814798593521, -0.006378283258527517, -0.024362171068787575, 0.028957143425941467, -0.021584246307611465, -0.04952448606491089, -0.01102663017809391, 0.022621607407927513, 0.004705769941210747, 0.009400652721524239, ...
<p>I have performed multiple linear regression analyses with different combinations of transformed and untransformed variables--both explanatory (independent) and response (dependent) variables. All transformations were $\log_{10}(X+1)$ which seem to fit/better fit assumptions of normality. Also, I have indicator (dumm...
g17985
[ -0.02665969915688038, -0.02731761336326599, -0.009577438235282898, -0.029025068506598473, 0.005958979949355125, -0.0320400670170784, 0.029910268262028694, 0.06104224920272827, -0.0366772785782814, -0.017669642344117165, -0.06364833563566208, 0.06295794993638992, 0.008494695648550987, -0.01...
<p>I'm using <code>GARCH()</code> function (tseries package) to fit garch model.</p> <p>I tried it with random numbers: <code>g &lt;- garch(rnorm(750), order = c(1,1))</code></p> <p>I know in this case the variance is constant BUT how to understand it reading the output of that function?</p> <pre><code>summary(g) ...
g61411
[ 0.0018455259269103408, -0.05314495414495468, -0.016391392797231674, -0.04635237529873848, -0.0087374122813344, 0.009428425692021847, 0.042523596435785294, 0.010802888311445713, -0.04824426770210266, 0.018234100192785263, -0.008282504975795746, 0.05777045711874962, 0.05731740966439247, -0.0...
<p>I am interested in new generating samples to approximate some unknown distribution X, where each new sample is a real-valued vector. </p> <p>The purpose it to be able to create a new (arbitrary large) stream of new samples from this approximate distribution that will be distributed in the same way, or as close as p...
g61412
[ 0.02087821625173092, -0.04022804647684097, -0.021937580779194832, -0.04729386046528816, -0.07883196324110031, -0.01332103367894888, -0.051982175558805466, 0.03881186991930008, -0.05979142710566521, 0.007698894944041967, -0.017887189984321594, -0.015140192583203316, 0.058195699006319046, 0....
<p>Why can't I find nowhere, neither in books or help files on the internet, graphs of the "in between" estimators and the "within" estimator?</p> <p>Imagine you have the logwages of 10 persons and also their work experience. Why does nobody show these ten lines of this panel data in a meaningful graph? </p> <p>Is it...
g17990
[ -0.002914311131462455, -0.01639735698699951, -0.02001727558672428, -0.039731115102767944, 0.019194968044757843, -0.03929775953292847, 0.05302853137254715, 0.034667883068323135, -0.09353581070899963, -0.052341073751449585, -0.036408912390470505, 0.007058108225464821, -0.006154585629701614, ...
<p>So far I used X12 casually for informative analysis etc. But now that I require precision - I stumbled upon a problem:</p> <p>What transformation of data is intended for most accurate results? I can seasonally adjust data in levels, as difference or as growth rate. Each approach yields slightly different results. I...
g61413
[ 0.012842914089560509, -0.002508109202608466, -0.008031703531742096, -0.004309593699872494, -0.020884491503238678, -0.02965738996863365, 0.02984170988202095, -0.01556567382067442, -0.0054764593951404095, 0.001631104270927608, 0.06453129649162292, -0.005073527805507183, 0.08149698376655579, ...
<p>Let's say I have two 1-dimensional arrays, $a_1$ and $a_2$. Each contains 100 data points. $a_1$ is the actual data, and $a_2$ is the model prediction. In this case, the $R^2$ value would be: $$ R^2 = 1 - \frac{SS_{res}}{SS_{tot}} \quad\quad\quad\quad\quad\ \ \quad\quad(1). $$ In the meantime, this would be equal t...
g61414
[ 0.009902548044919968, -0.08467390388250351, -0.011062845587730408, -0.011801199987530708, 0.021894995123147964, -0.01849646307528019, 0.026980474591255188, 0.012621192261576653, -0.044250164180994034, -0.013218756765127182, -0.04218074679374695, 0.03719518333673477, 0.07620834559202194, -0...
<blockquote> <p>A test treatment was compared with the control treatment in a cross-over trial with 10 patients. The test treatment was superior in 8 patients and the control was superior in other 2 patients. What is the one-sided p-value?</p> </blockquote>
g61415
[ 0.0048821414820849895, 0.012202609330415726, 0.003562922589480877, -0.034324709326028824, 0.028879273682832718, -0.0529131256043911, 0.013461573049426079, -0.0013070626882836223, 0.005171576049178839, 0.009941025637090206, 0.00857353862375021, 0.05218944326043129, -0.006169234402477741, 0....
<p>We know standard Belief Propagation finds the parameters which maximize probability of posterior. Is there any way to use BP, for loss specific inference? For example, let's say someone wants to train his model with F1 measure. </p>
g61416
[ -0.011575666256248951, -0.002016144571825862, 0.019930824637413025, 0.0026676799170672894, 0.010166448540985584, -0.03612567111849785, -0.03847194463014603, 0.05683401599526405, -0.03611576557159424, -0.03630615770816803, 0.02999226748943329, 0.010100490413606167, 0.03677164763212204, 0.01...
<p>How can an ARIMA (2,1,0) model be estimated without attempting to calculate the coefficients of the model? What info would I need for this estimation?</p> <p>Issy</p>
g61417
[ -0.005063377786427736, -0.039732202887535095, 0.00018255479517392814, 0.041661929339170456, 0.013363875448703766, -0.029639871791005135, 0.03399501368403435, 0.032327551394701004, -0.024200933054089546, 0.01768137700855732, -0.06327927112579346, 0.05846351385116577, 0.05068473517894745, 0....
<p>I keep reading about the need to check for autocorrelation in MCMC. Why is it important that the autocorrelation is low? What does it measure in the context of MCMC?</p>
g61418
[ 0.052188750356435776, 0.018443211913108826, -0.013115832582116127, -0.0465412400662899, -0.005631356034427881, 0.01115697156637907, 0.06580236554145813, 0.03381112217903137, -0.006237849593162537, -0.08745618909597397, 0.0018502440070733428, 0.05350985378026962, 0.023514410480856895, 0.022...
<p>I am performing <em>kriging</em> on a large number of relatively modest data sets (144 data points on a 9 x 16 grid in each data set). </p> <p>I was experimenting with different variogram models and other parameter tweaks to record errors, and noticed some data sets produced very large errors. Investigating these d...
g61419
[ 0.028442097827792168, -0.02967417798936367, 0.001763729378581047, -0.039992816746234894, 0.011624266393482685, 0.03157941251993179, 0.02814711071550846, -0.016678988933563232, -0.03242103010416031, 0.005293934140354395, 0.028955571353435516, 0.03407265990972519, 0.07831741124391556, 0.0372...
<p>One interesting formulation of the ordinary least squares model coefficient is as a weighted average slope where the weights are given by the squared differences between the $X$ values.</p> <p>$$ \begin{array}{c} \hat{\beta} = \frac{\sum_{i \ne j} w_{ij} \frac{Y_i - Y_j}{X_i - X_j}}{\sum_{i \ne j }w_{ij}} \\ w_{ij}...
g47792
[ -0.016672346740961075, -0.046236902475357056, -0.03006640262901783, -0.06497760862112045, 0.0035898692440241575, -0.03503045439720154, 0.03138503059744835, -0.02441985160112381, -0.08549104630947113, 0.005503817927092314, -0.03174469247460365, 0.016814757138490677, 0.06844861060380936, 0.0...
<p>I have a non-linear reglationship and I want to find the best way to determine the value for the exponent $\gamma$ in the following regression:</p> <p>$y = \beta x ^ \gamma$</p> <p>I would preferably like to do this in R.</p>
g17996
[ 0.016998836770653725, -0.04352399334311485, -0.01372737716883421, -0.017204154282808304, 0.05986917391419411, -0.05868213251233101, 0.029680972918868065, 0.009116624481976032, -0.06518298387527466, -0.015426917001605034, 0.015906043350696564, 0.046685781329870224, -0.020191436633467674, 0....
<p>I have data in the form of three digit binary numbers (i.e. 100, 101, etc.) scored for each individual in my samples taken from two populations I wish to compare. The three numbers represent independent states but I'm interested in comparing the occurrence of particular patterns (e.g. does 110 occur more in one popu...
g61420
[ -0.016852309927344322, -0.03174964711070061, 0.003955073654651642, -0.006749061401933432, -0.01575716957449913, -0.0014147120527923107, 0.008550905622541904, 0.06713498383760452, -0.006486781407147646, -0.01855950802564621, 0.0007948372513055801, 0.02918357029557228, 0.03721994534134865, 0...
<p>I am trying to calculate the log-likelihood of some time series data given parameter sets estimated in BUGS. I can not figure out how to handle some missing values at random points in time. </p> <p>For the complete data situation, such as $Y=(0.1,0.3,0.5,0.4,0.2,0.1)$, (real data is much longer) I have fitted a tim...
g61421
[ 0.026441922411322594, -0.05561932548880577, -0.006330414209514856, 0.014654688537120819, -0.004831675905734301, 0.043102577328681946, 0.055061645805835724, -0.049514103680849075, -0.04019632190465927, 0.012349880300462246, -0.041240911930799484, 0.014768333174288273, 0.023795373737812042, ...
<p>Let's say I've gotten a HMM that describes user search strings for my e-commerce website. Let's also say that I've just received a search string from a customer that doesn't have any search results. Does it make sense to ask "Based upon the HMM, what is the nearest string to this that has some likelihood above X?" S...
g17997
[ 0.009185221046209335, -0.011356749571859837, 0.007518816739320755, -0.028962181881070137, -0.03310500457882881, -0.02649242989718914, 0.016150446608662605, 0.025609664618968964, -0.02951638028025627, -0.027317946776747704, -0.011172838509082794, 0.017603367567062378, 0.10244199633598328, -...
<p>Suppose you have a bunch of independent time series each with binary outcomes A/B, all with the same CDF (but we don't know anything about it a-priori). We want to compute the average percentage of A outcomes, or better yet, the empirical CDF. The problem is that we only have information when the A outcome occurs. ...
g61422
[ 0.01631876826286316, -0.0035264967009425163, 0.0062170992605388165, -0.015916554257273674, 0.00517823314294219, -0.04200436547398567, 0.008003936149179935, -0.007254490163177252, -0.05467686429619789, -0.01896839402616024, 0.018689468502998352, 0.04897570610046387, 0.017436373978853226, -0...
<p>I'm sure this is really basic -- but I want to understand the origins (etymology) of the term test statistic.</p> <p>Thanks.</p>
g61423
[ 0.06458549201488495, 0.0709090381860733, -0.009349804371595383, -0.0017529850592836738, -0.01203061267733574, -0.0013732934603467584, 0.04107038304209709, 0.021456057205796242, 0.052707742899656296, -0.0137661537155509, -0.047225724905729294, 0.04585163667798042, 0.020272521302103996, 0.00...
<p>I have an experiment where I am trying to determine whether the answering behavior of participants can be explained as random answering. I.e. every participants will have to answer multiple questions with two options. The experimental hypothesis suggests a certain pattern, i.e. that participants will not just answer...
g47805
[ 0.0035415117163211107, 0.03874601796269417, 0.004099878016859293, -0.008816094137728214, -0.025338517501950264, -0.025864580646157265, -0.0004479218914639205, 0.03933817148208618, 0.02439754270017147, -0.04308130219578743, 0.011939390562474728, -0.022195542231202126, 0.024773703888058662, ...
<p>My reseach topic is modeling the Inflation Process in Liberia, a SARIMA approach. I need to determine the property of the general SARIMA model and to derive the maximum likelihood estimators for the parameters in the SARIMA model.</p>
g61424
[ 0.004566419869661331, -0.015920447185635567, 0.009242534637451172, -0.0023462038952857256, -0.025803402066230774, 0.014453829266130924, 0.02053823135793209, 0.024548929184675217, -0.046297233551740646, 0.07220988720655441, -0.016186987981200218, -0.00397549057379365, 0.005158338695764542, ...
<p>What are the top statistic conferences to follow for applications in machine learning?</p> <p>I just had a discussion, regarding that some of the machine learning jargon and buzzwords are not really sound for a top level statistician. So instead of machine learning conferences I would like to follow conferences on ...
g37929
[ 0.0172936599701643, -0.02042551152408123, 0.03731350228190422, -0.022750109434127808, -0.023329757153987885, -0.042939841747283936, 0.02716253697872162, 0.0519995391368866, -0.03721347451210022, -0.05082862079143524, 0.0014386274851858616, 0.030474312603473663, 0.09389686584472656, 0.01414...
<p>For the ARIMA (0,0,1) model, some books write the equation as $$Z_t = \mu - \theta Z_{t-1}$$ whereas some books write the equation as</p> <p>$$Z_t = \mu + \theta Z_{t-1}$$</p> <p>Why is there either a negative sign or positive sign before the moving average parameter in an ARIMA model?</p>
g61425
[ -0.02320868708193302, -0.01493848767131567, -0.02800012193620205, 0.046873219311237335, 0.05754099786281586, 0.0270510483533144, 0.05565112829208374, 0.0472850501537323, -0.06108790636062622, 0.06404387950897217, 0.058382317423820496, 0.02874183841049671, 0.05616535246372223, 0.02113267220...
<p>Considering a two equation model:</p> <p>Equation 1 </p> <pre><code>Trunk=f(Headroom) </code></pre> <p>In the first step I regress the first equation to get predicted values of Trunk.</p> <p>Equation 2</p> <pre><code>Price=f(Trunk_hat, Displacement) </code></pre> <p>I have performed this in Stata, however I al...
g61426
[ 0.044267404824495316, -0.02281070500612259, -0.011523077264428139, -0.012229482643306255, 0.016508322209119797, -0.04961232468485832, 0.008914712816476822, 0.03690900653600693, -0.03671997785568237, -0.054146237671375275, -0.030810831114649773, 0.015300306491553783, 0.09469969570636749, -0...
<p>I have performed a linear regression and found a model of the form: $$ \hat{Y} = \alpha + \beta_1 x+ \delta_{high} + \delta_{low} + \epsilon\\ $$ Where:</p> <p>$\beta_1$ is a continuously distributed variable</p> <p>$\delta_{high}$ and $\delta_{low}$ are dummy variables, each levels of 'high' or 'low'</p> <p>To u...
g61427
[ 0.012229339219629765, -0.06660997867584229, -0.018032584339380264, 0.006164513528347015, -0.005139912944287062, 0.02532985992729664, 0.017838720232248306, 0.0691741332411766, -0.04966778680682182, -0.05431642755866051, -0.01291072741150856, 0.009385365061461926, 0.018083326518535614, 0.010...
<p>When using SVM, we need to select a kernel.</p> <p>I wonder how to select a kernel. Any criteria on kernel selection?</p>
g47808
[ 0.007574629038572311, 0.05825502425432205, 0.02059822902083397, 0.037946924567222595, 0.004713758360594511, -0.07951323688030243, -0.050753988325595856, 0.04944506287574768, -0.011448515579104424, 0.01590493693947792, 0.004258645698428154, 0.00885547511279583, 0.058382321149110794, 0.08011...
<p>I have a data frame with prices/dates, is there a method that checks if the variance is homogeneous during all the series? I know there are many test like fligner.test, bartlett.test but I need to pass to those methods few groups....I don't have groups I have only one series and I need to know if the variance is con...
g61428
[ 0.04282249137759209, 0.009784698486328125, 0.0021236513275653124, -0.021474458277225494, 0.002425301354378462, -0.02403358370065689, 0.008602180518209934, -0.010652760043740273, -0.021589750424027443, -0.008331246674060822, -0.01197744905948639, 0.07974369078874588, -0.04196535423398018, 0...
<p>I ran a negative binomial regression on some count data using SPSS. The intercept had an Exp(B) value below the lower limit of the 95% Wald Confidence Interval. I've never seen this happen before and am curious as to what it means. This did not occur with any of the Exp(B) values for the predictors, only the inte...
g18003
[ 0.05755211412906647, -0.0032010057475417852, -0.03097940981388092, 0.004639207851141691, 0.007704211864620447, 0.05126253142952919, -0.008414224721491337, 0.04686659201979637, 0.0018565738573670387, -0.0798417329788208, -0.027900459244847298, 0.07205942273139954, 0.0052101630717515945, -0....
<p>I have a data set where each example has 35 (often correlated) features and their resultant dependent variable. I want to rank these features based on their influence on the dependent variable. Is there a statistical technique to do that in R or Matlab?</p> <p>All variables are continuous. Please note that this is ...
g61429
[ 0.02890290878713131, -0.07844508439302444, 0.008625095710158348, -0.044920213520526886, -0.0468345545232296, -0.018668005242943764, 0.010823654010891914, -0.0053616478107869625, -0.08030539751052856, -0.004588892217725515, 0.024437982589006424, 0.009043320082128048, 0.023559514433145523, 0...
<p>When using an independent-samples t-test to compare two variables, do the absolute values of the samples affect the test statistic and the effect size?</p> <p>In other words, is it easier to obtain significance if the two variables are e.g. in the range 0-10 (e.g. number of fingers raised by one person vs another)...
g18005
[ -0.0018968665972352028, 0.047044072300195694, 0.014085772447288036, -0.03843625634908676, -0.052353549748659134, -0.025267424061894417, 0.02688199281692505, 0.027681071311235428, -0.03964950889348984, -0.0023531608749181032, 0.03556298464536667, -0.016597354784607887, -0.0017907663714140654,...
<p>Is there a name for this data visualization?</p> <p><img src="http://i.stack.imgur.com/GIM3W.jpg" alt=""></p> <hr> <p>It's almost like half a pie chart. In this case, it was animated like a speedometer you would see on a car dashboard; the divider (the needle) pointed left fully horizontal at first.</p>
g61430
[ 0.05164335295557976, 0.030579306185245514, -0.022223619744181633, -0.08201836049556732, -0.0013790602097287774, -0.04434441030025482, 0.045074887573719025, -0.04089515656232834, -0.030043816193938255, -0.04278990626335144, 0.01912582293152809, -0.022108346223831177, 0.07190871238708496, -0...
<p>Let $\Theta$ be a more or less arbitrary space carrying a probability distribution $\pi(d \theta)$ on it. Suppose that for every $\theta \in \Theta$ one can simulate a random variable $X_{\theta}$ with mean $\mu_{\theta} \in \mathbb{R}$. How would you study the distribution $\tilde{\pi}$ on $\Theta$ defined through...
g61431
[ -0.0024261251091957092, 0.037050988525152206, -0.014838381670415401, -0.04810449481010437, -0.042952507734298706, 0.00409756600856781, -0.03260393440723419, -0.008920680731534958, -0.0342312715947628, 0.017513886094093323, 0.0017838887870311737, 0.07266233116388321, 0.06451570987701416, 0....
<p>I am generating some simulated data from a multivariate gaussian distribution with a covariance matrix sigma. To add some noise, I added an identity matrix to the covariance matrix which depicts gaussian white noise.</p> <p>I then drew some samples from it, calculated the pairwise semivariance as</p> <p>$\gamma(h)...
g28173
[ -0.002584280213341117, -0.03469773754477501, 0.024236220866441727, -0.06709002703428268, -0.004866925533860922, -0.024333586916327477, -0.002585094654932618, 0.01652657799422741, -0.032860297709703445, 0.03159848600625992, 0.005371711682528257, 0.027724262326955795, 0.00026567044551484287, ...
<p>This is something I've always wondered. Consider the Kinect. It takes its 3d image data and manages to recognize that a human is contained at a given boundary. Are these types of technologies exclusively machine-learning driven?</p>
g61432
[ 0.03893434628844261, -0.005769739858806133, 0.0023531774058938026, 0.01762591488659382, 0.013916710391640663, -0.004351831506937742, 0.010937281884253025, 0.002809148980304599, -0.03855079039931297, -0.05089947581291199, -0.009899424389004707, 0.0007335883565247059, 0.14543916285037994, -0...
<p>I have a data.frame with 800 obs. of 40 variables, and would like to use Principle Component Analysis to improve the results of my prediction (which so far is working best with Support Vector Machine on some 15 hand-picked variables).</p> <p>I understand a prcomp can help me improve my predictions, but I do not kn...
g18007
[ 0.01124152634292841, -0.0200723297894001, 0.018698731437325478, -0.050282321870326996, 0.005509033799171448, -0.03594658523797989, 0.07319851964712143, 0.00974094495177269, -0.014268987812101841, -0.04028112813830376, 0.01752631552517414, -0.007621872238814831, 0.008093065582215786, -0.019...
<p>In my regression model, I am testing for main effects and interaction on Y as follows:</p> <p>X, X1, X*X1</p> <p>(X1 is gender and there are 200 males and 250 females in the dataset.)</p> <p>The interaction is not significant but one main effect (X) is significant.</p> <p>My research context suggests that there ...
g61433
[ 0.046242162585258484, 0.041298795491456985, -0.01669173501431942, -0.023406311869621277, 0.026271745562553406, -0.057193707674741745, 0.031625114381313324, 0.024236153811216354, -0.03506813198328018, -0.06418348103761673, 0.029929647222161293, 0.04243498295545578, 0.00803796760737896, 0.01...
<p>As a validation study, I use two libsvm-based svm classifier against the same data set. One classifier is libsvm implementation in Rapidminer. Another classifier is Libsvm itself. Both of them assume the same parameter setting. However, the prediction score of these two classifiers are different. What might be rea...
g18010
[ 0.056255780160427094, -0.06746609508991241, 0.02499299682676792, 0.0344034768640995, 0.04553738608956337, -0.009965564124286175, -0.031080951914191246, 0.04896131902933121, -0.04149125888943672, -0.019206328317523003, 0.015744931995868683, 0.04329759627580643, 0.055909812450408936, 0.00271...
<p>If I have a certain dataset, how smart would it be to initialize cluster centers using means of random samples of that dataset. For example, suppose I want 5 clusters. I take 5 random samples of say, size=20% of the original dataset. Could I then take the mean of each of these 5 random samples and use those means as...
g61434
[ -0.021821387112140656, 0.029637007042765617, 0.008940891362726688, -0.05488872155547142, -0.03382718935608864, -0.06105005368590355, -0.019936781376600266, -0.006353565491735935, 0.00024904703604988754, -0.01259822677820921, 0.005424001719802618, 0.04620829597115517, 0.05028177797794342, 0...
<p>I am currently designing the sampling strategy for a prevalence survey on elderly in long term care facilities (LTCF) in my service, I used the "Limebook" from <a href="http://www.who.int/tb/advisory_bodies/impact_measurement_taskforce/resources_documents/thelimebook/en/index.html" rel="nofollow">WHO</a> as a refere...
g18011
[ -0.02527027763426304, -0.014376268722116947, 0.00976462010294199, -0.07170677185058594, -0.00793875940144062, -0.01696671172976494, 0.009265710599720478, 0.023209761828184128, -0.018521899357438087, 0.0035899451468139887, 0.03667831793427467, -0.006282704416662455, 0.06847555190324783, -0....
<p>What are some non-uniform random number generators not relying on uniform random number generators?</p> <p>Are some of them for general non-uniform distributions, or are all of them for some particular non-uniform distributions?</p> <p>Thanks!</p>
g61435
[ -0.04031018912792206, 0.014514793641865253, -0.006984512321650982, -0.08081232011318207, -0.047643497586250305, 0.021008672192692757, -0.015906978398561478, 0.013255653902888298, 0.00007007618842180818, -0.027087382972240448, 0.0036781453527510166, -0.08796971291303635, -0.02134414203464985,...
<p>What is 95% confidence interval for the fraction of 5 successes out of 12 trials?</p> <p>Is it possible to compute confidence intervals for a sample of this size?</p>
g49535
[ -0.02009640634059906, 0.027234993875026703, -0.021640507504343987, -0.002196471206843853, -0.043957050889730453, -0.00946548581123352, -0.0020573583897203207, -0.009073801338672638, -0.0740899071097374, -0.014273247681558132, 0.010383142158389091, 0.014600109308958054, 0.024782819673419, -...
<p>I'm investigating a method for automatic checking of Markov chain Monte Carlo methods, and I would like some examples of mistakes that can occur when constructing or implementing such algorithms. Bonus points if the incorrect method was used in a published paper.</p> <p>I'm particularly interested in cases where th...
g61436
[ 0.04060027003288269, -0.03922648727893829, 0.013252424076199532, 0.003972172737121582, -0.02441544644534588, -0.02337808907032013, 0.024452421814203262, 0.016713200137019157, -0.07161952555179596, 0.10130369663238525, 0.0007112749735824764, 0.020397676154971123, 0.08372049778699875, 0.0170...
<p>I have analysed my data as they are. Now I want to look at my analyses after taking the log of all variables. Many variables contain many zeros. Therefore I add a small quantity to avoid taking the log of zero. </p> <p>So far I've added 10^-10, without any rationale really, just because I felt like adding a very sm...
g40845
[ -0.008670024573802948, 0.0026693877298384905, -0.0031090532429516315, -0.034171611070632935, -0.024500885978341103, -0.034581489861011505, 0.03479413688182831, 0.014529025182127953, -0.05428644269704819, -0.05585235729813576, 0.006185582838952541, -0.008342107757925987, 0.03551384061574936, ...
<p>I have data from a Monte Carlo experiment that I was hoping to fit to a model of the form $$\log(x y) \approx \beta_0 + \beta_1 \log(z),$$ where I have many observations of triplets, $x, y, z$. This fit does a decent job, but when I look at the residuals of the fit versus $\log(z)$, there is a tell-tale bowl shape: ...
g30515
[ 0.0037967737298458815, -0.027717897668480873, -0.015732545405626297, -0.034778568893671036, 0.010493351146578789, 0.0015423395670950413, 0.06785562634468079, -0.05140439420938492, -0.006113497540354729, -0.007789884693920612, -0.032037556171417236, 0.04097699001431465, 0.05447278916835785, ...
<p>I'm trying to understand the confidence interval returned by the function var.test() in R. More specifically, the confidence interval returned by var.test() is not the one I find when doing the calculation of the F-test by myself. For example :</p> <pre><code>&gt; s1 &lt;- 10:12 ; s2 &lt;- 13:16 &gt; var(s1) [1] 1 ...
g61437
[ 0.055993251502513885, -0.007685919292271137, -0.027864785864949226, 0.02248140051960945, -0.0365920215845108, 0.026884013786911964, 0.04386366903781891, 0.03806215152144432, -0.023461265489459038, -0.05752609670162201, -0.04188600182533264, 0.055642303079366684, 0.03865291178226471, -0.038...
<p>I was referring to <a href="http://www.youtube.com/watch?v=bekNKJoxYbQ" rel="nofollow">this video lecture for calculating the confidence interval</a>. However, I have some confusion. This guy is using $z$-statistics for the calculation. However, I think it should have been a $t$-statistics. We aren't given the true ...
g61438
[ 0.04933132976293564, 0.047935739159584045, -0.01934216544032097, 0.013482115231454372, -0.041769929230213165, 0.05024643987417221, 0.07651419192552567, 0.016535736620426178, -0.03438086062669754, -0.026931144297122955, 0.03364165872335434, 0.004339626990258694, 0.033400774002075195, -0.000...
<p>I am starting my thesis in Credit Risk Modelling very soon, but I realise it's really hard to get some real data. Does anyone know is this kind of data publicly available or I need to purchase it from somewhere.</p> <p>Just a little bit more detail of the kind of data I am looking for: Preferably it has couple thou...
g47829
[ 0.022916508838534355, 0.02430013008415699, -0.014466359280049801, -0.02669536881148815, 0.016800813376903534, -0.02218073606491089, -0.0005462486878968775, -0.0025613962206989527, -0.017925487831234932, 0.032079700380563736, 0.015387830324470997, 0.009367557242512703, 0.05181378871202469, ...
<blockquote> <p><strong>Possible Duplicate:</strong><br> <a href="http://stats.stackexchange.com/questions/31442/calculating-the-confidence-interval-for-simple-linear-regression-coefficient-est">Calculating the confidence interval for simple linear regression coefficient estimates</a> </p> </blockquote> <p>I wa...
g49619
[ 0.009973745793104172, -0.043829675763845444, -0.026677651330828667, 0.011341501027345657, -0.0030329700093716383, 0.023917315527796745, 0.016506187617778778, 0.02550494112074375, -0.05281248316168785, -0.02093842625617981, -0.07995263487100601, 0.04224744811654091, 0.04819021746516228, -0....
<p>I have a data set of $n$ benchmarks and $m$ subsamples in each benchmark. I run these benchmarks and their subsamples on $p$ subject machines. The 'individual' studied by the subsamples are the same for each subject machine, and the benchmarks are the same for each subject machine.</p> <p>How do I carry out an ANO...
g61439
[ 0.023609589785337448, -0.02999776042997837, -0.02108537219464779, 0.02276894636452198, 0.015628695487976074, 0.030597690492868423, 0.005464494694024324, 0.005508633330464363, -0.0523599348962307, -0.007497045677155256, -0.018156133592128754, 0.040179092437028885, -0.0005475909565575421, 0....
<p>Is there a relationship between regression and linear discriminant analysis? What are their similarities and differences? Does it make any difference if there are two classes or more than two classes?</p>
g61440
[ 0.03302912414073944, -0.061312317848205566, 0.002099753124639392, 0.006774228997528553, -0.02733669802546501, -0.01973840780556202, 0.008839154615998268, 0.03547639027237892, -0.028459833934903145, -0.08872651308774948, -0.016219262033700943, 0.05470656603574753, 0.02792130410671234, 0.024...
<p>I have a dataset that comprises 200 males and 250 females and I am testing their responses on the relationship between X and Y. </p> <p>X and Y are continuous and X1 (gender) is categorical. </p> <p>I am using the general linear model in SPSS to test for main effects and interaction.</p> <p>As I understand it, th...
g45570
[ 0.006040730979293585, 0.009680543094873428, -0.02188955992460251, -0.09203214198350906, -0.007465089671313763, -0.008297779597342014, 0.0019518733024597168, -0.013319184072315693, 0.005790916737169027, -0.0120410630479455, 0.006397296208888292, 0.010575932450592518, 0.053022682666778564, 0...
<blockquote> <p><strong>Possible Duplicate:</strong><br> <a href="http://stats.stackexchange.com/questions/1444/how-should-i-transform-non-negative-data-including-zeros">How should I transform non-negative data including zeros?</a><br> <a href="http://stats.stackexchange.com/questions/47296/error-in-boxcox-defaul...
g49418
[ -0.01836599037051201, 0.007970689795911312, -0.0015748810255900025, 0.004008927382528782, 0.020563757047057152, -0.011497631669044495, -0.022729933261871338, 0.050110768526792526, -0.05081582069396973, -0.08523476868867874, -0.04605675861239433, 0.018285036087036133, 0.051795851439237595, ...
<pre><code>Error in boxcox.default(y ~ x) : response variable must be positive </code></pre> <p>I am getting this error in <code>R</code> when I am performing a Box-Cox transformation on data.</p> <p>Why is this error happening? Here is my <a href="https://dl.dropbox.com/u/53624395/11.csv" rel="nofollow">data</a>. <...
g49418
[ 0.03583032637834549, 0.01277852337807417, -0.02679140493273735, -0.05026242509484291, 0.03817376866936684, -0.01794712245464325, 0.017891278490424156, -0.012283269315958023, -0.02799362689256668, -0.09241163730621338, -0.016928380355238914, 0.04911091551184654, 0.024905020371079445, -0.014...
<p>What would be the best test to determine if differences among multiple groups are statistically significant? I'm doing a research of physiotherapist job satisfaction.</p> <p>Here is a tabstat for information.</p> <p>Row represents group (university they graduated from or their specialization (neurology,pediatrics,...
g559
[ -0.016613921150565147, 0.0399215929210186, -0.021198051050305367, -0.04854263737797737, 0.010858312249183655, -0.0281898844987154, 0.03474007919430733, -0.003514108946546912, -0.0499219112098217, 0.0031784826423972845, 0.013771545141935349, 0.026299921795725822, 0.007370116654783487, -0.00...
<p>I was reading this paper related to sparse PCA <a href="http://www.google.com.np/url?sa=t&amp;rct=j&amp;q=sparse%20pca%20with%20constraints&amp;source=web&amp;cd=2&amp;ved=0CDMQFjAB&amp;url=http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/download/5109/5503&amp;ei=HPTsUMffLaW30AGm_4HoCw&amp;usg=AFQjCNEfeBg-qlb_k7...
g18022
[ 0.022260818630456924, -0.04234996438026428, 0.012274660170078278, 0.02634349651634693, 0.042152129113674164, -0.016725964844226837, 0.07826798409223557, -0.002553422236815095, -0.0009871635120362043, -0.03307954594492912, -0.04602743312716484, 0.013417763635516167, 0.0018726688576862216, -...
<p>For each record in my datasets I have the following information </p> <p>$$ (X_1 \ , \dots \ , X_m \ , \delta \ , T \ )$$</p> <p>where $X_i$ are features, $\delta$ is 1 if the target event occurs and 0 otherwise, and $T$ is the timestamp of the occurred event. In particular, $T$ might be missing if there was no eve...
g61441
[ -0.027023883536458015, -0.033795587718486786, -0.003666797885671258, -0.027806725353002548, 0.015681397169828415, -0.009900479577481747, 0.007862281054258347, 0.05208904296159744, -0.06712240725755692, 0.013269366696476936, 0.01813482493162155, 0.019908996298909187, 0.10618731379508972, -0...
<p>Why the test function in Kolmogorov-Smirnov test takes the supremum of the set of differences, not maximum? When maximum (greatest element) of a set does not exist then supremum may exist, but if greatest element exist then supremum is same as greatest element. I want to know why here greatest element does not exist...
g61442
[ -0.008352009579539299, -0.004672632087022066, 0.012892195023596287, 0.038386307656764984, 0.02517596445977688, 0.024830376729369164, 0.02751491218805313, 0.08815499395132065, -0.019323328509926796, -0.005127020180225372, -0.025912733748555183, -0.0013588566798716784, -0.02817176841199398, ...
<p>So when I assume that the error terms are normally distributed in a linear regression, what does it mean for the response variable, $y$?</p>
g61443
[ 0.06592193990945816, -0.045914433896541595, -0.024328121915459633, 0.011722389608621597, 0.048408061265945435, 0.02693183347582817, 0.05500609055161476, 0.0168555099517107, 0.004073721822351217, -0.04683414846658707, -0.04688232019543648, 0.010382258333265781, -0.01125965267419815, 0.00316...
<p>How to cluster based on what users are searching on</p> <p>I'm working on an app which includes search functionality: a search box that allows a user to enter text and search the entire site.<br/> I have access to what terms the users are searching on, how can I cluster users based on this data? Here is what I am t...
g61444
[ 0.04903298243880272, 0.016067741438746452, 0.02413693070411682, -0.04410967230796814, 0.012345343828201294, -0.0747859925031662, -0.016785766929388046, -0.006231845356523991, 0.03893376141786575, -0.00011647667270153761, 0.029025163501501083, -0.0020789499394595623, 0.07075243443250656, 0....
<p>Compute significance of Kendall tau-b?</p> <p>I have so-far tried all ways of computing kendall tau significance (where there are ties) described <a href="http://en.wikipedia.org/wiki/Kendall_tau_rank_correlation_coefficient" rel="nofollow">here</a>.</p> <p>However, none of them works good, even for relatively lar...
g61445
[ -0.0016075525199994445, 0.026794731616973877, -0.010756176896393299, -0.08361195772886276, 0.006874893791973591, -0.05552151799201965, 0.042704541236162186, 0.04053502902388573, -0.010823994874954224, -0.02113565243780613, 0.004543779417872429, -0.002765436191111803, 0.05595008283853531, 0...
<p>I've found critical values for the Anderson Darling test for a Normal Distribution at 1%, 2.5%, 5%, 10% and 15% significance levels from various sources, including wikipedia:</p> <p><a href="http://en.wikipedia.org/wiki/Anderson%E2%80%93Darling_test" rel="nofollow">http://en.wikipedia.org/wiki/Anderson%E2%80%93Darl...
g61446
[ 0.04636932536959648, -0.02778717130422592, -0.027705378830432892, -0.03825746476650238, 0.0026941129472106695, 0.006188609171658754, 0.027711357921361923, 0.016021812334656715, 0.011323335580527782, -0.021806159988045692, -0.018290674313902855, -0.035766374319791794, 0.08115033060312271, -...
<p>I am using logistic regression to estimate ~probability of a sample unit being used by an animal.</p> <p>Due to my sampling design it is unavoidable that there is overlap between 'used' sample units and 'available' sample units. (Overlap refers to the situation where 'used' units also occur in the sample of 'availa...
g61447
[ -0.033406924456357956, -0.00993303582072258, 0.03582814708352089, -0.0002493076608516276, 0.03630013018846512, 0.005227362271398306, 0.04422513023018837, -0.0010121767409145832, -0.028686143457889557, 0.04344867542386055, 0.019083615392446518, 0.009887151420116425, 0.02534470334649086, -0....
<p>Below is a discussion of sufficient statistics for a continuous distribution, taken from the third edition of Lehmann's <strong>Testing Statistical Hypotheses.</strong> I understand the discussion until the underlined statement. Could someone explain why the underlined statement is true. How does it follow that the ...
g61448
[ 0.11922901123762131, 0.019153360277414322, 0.013448520563542843, 0.017778251320123672, -0.03117320127785206, 0.050394151359796524, 0.03589247539639473, 0.004054666496813297, -0.04581134021282196, -0.057004328817129135, -0.008868403732776642, -0.028385687619447708, 0.0023689388763159513, -0...
<p>In SPSS, I have created scatterplots of two continuous variables (X &amp; Y) for two separate groups (G &amp; P). Visual inspection comparing the scatterplots from the two groups suggests that distribution of the data points is similar; however, I would like to prove this. Is there a way to do this, preferably in SP...
g61449
[ 0.018032632768154144, -0.04147857800126076, -0.021828485652804375, -0.09732206910848618, -0.03903393819928169, -0.0002676396397873759, -0.0242682583630085, 0.023308491334319115, -0.027302613481879234, -0.023683270439505577, 0.07912834733724594, 0.026462404057383537, 0.016372807323932648, 0...
<p>This question is in relation to the following answer of yours:</p> <p><a href="http://stats.stackexchange.com/questions/18913/how-to-derive-a-distance-function-based-on-multiple-variables-for-cluster-analysis">How to derive a distance function based on multiple variables for cluster analysis?</a></p> <p>Suppose I ...
g18028
[ -0.016152024269104004, -0.004780649673193693, 0.0023867373820394278, -0.03515039011836052, 0.03302684426307678, -0.03424336388707161, -0.0072022792883217335, 0.010239026509225368, -0.0570530965924263, -0.022160883992910385, -0.037520673125982285, -0.02323232591152191, 0.045900460332632065, ...
<p>I'm trying to solve a problem where I have a large set of data points. Each data "point" has 8 independent variables (input) and 1 dependent variable (the output). I got this data through experimentation. </p> <p>Are there any non-linear ways that I can interpolate the data?</p> <p>I am not looking for regression ...
g61450
[ 0.004770222119987011, -0.015114186331629753, 0.02262856811285019, -0.05515695735812187, -0.05118150636553764, -0.014202248305082321, 0.044672854244709015, -0.017639001831412315, -0.07114480435848236, -0.031961992383003235, 0.0008785952813923359, 0.007381505332887173, 0.017726218327879906, ...
<p>I have N different possible results (ex. red, yellow, or blue). I go to a population of infinite size and ask a bunch of people a question the answer to which is one of the N options.... How large will my sample size need to be to have a ~95% confidence that the sample's distribution of answers represents the full ...
g49663
[ 0.0076739895157516, 0.021259060129523277, -0.0009523640619590878, -0.007407950237393379, 0.004946659319102764, -0.04171054810285568, 0.014282395131886005, -0.0002707390231080353, -0.023597966879606247, -0.03092055208981037, 0.030459126457571983, -0.03505902364850044, -0.030207496136426926, ...
<p>I need to calculate the average LOS (Length Of Stay) over 15 years. My formula is the following:</p> <p><code>total number of days in hospital (for each patient) / total number of patients discharged</code></p> <p>Because I need to express this average per patient/year I was thinking to do the following:</p> <p><...
g3744
[ 0.026839278638362885, 0.020894305780529976, 0.000940058846026659, -0.10098487883806229, -0.029589315876364708, -0.043018534779548645, 0.0008617722778581083, 0.0307448897510767, -0.04175134375691414, 0.008701501414179802, 0.036296531558036804, 0.03985469043254852, 0.042472563683986664, -0.0...
<p>I am experimenting with Classification algorithms in ML and am looking for some corpus to train my model to distinguish among the different text categories like sports, weather, technology, football, cricket etc.</p> <p>Where I can find some dataset with these categories?</p> <p>An option would be to crawl Wikiped...
g47853
[ -0.0406801737844944, 0.007870242930948734, 0.0017051849281415343, -0.08177211135625839, 0.011299598030745983, -0.01604677364230156, 0.025255316868424416, 0.06084055081009865, -0.023952322080731392, -0.028570787981152534, 0.0005739536718465388, -0.041504841297864914, 0.11355162411928177, 0....
<p>I'm trying to classify 6-dimension feature vectors in two different classes using the nearest neighbor algorithm. After analyzing my training data, I realized that the same vector is present numerous times in both classes. What does this mean?</p> <ul> <li>Does it indicate a bad feature choice?</li> <li>During trai...
g61451
[ 0.009465313516557217, -0.04288170486688614, 0.016059206798672676, -0.03369481861591339, 0.00611526146531105, 0.017953598871827126, 0.011172548867762089, 0.020376617088913918, -0.0532090961933136, -0.02330162189900875, -0.0017870923038572073, 0.06877609342336655, 0.030445441603660583, 0.068...
<p>I am trying to determine whether students perform better than chance on a quiz with $q$ multiple choice questions. Each question as 4 possible responses; one is correct and 3 are wrong. A correct answer is worth one point and a wrong answer is worth 0 points.</p> <p>For example, if $q=3$, I would expect an average ...
g61452
[ -0.010057822801172733, -0.01898331567645073, -0.007945714518427849, -0.009318104945123196, -0.0152468616142869, 0.010677195154130459, 0.008833563886582851, 0.0023507114965468645, -0.0340430848300457, -0.019946498796343803, 0.02732188068330288, 0.018043212592601776, 0.06440958380699158, 0.0...
<p>We have 100 participants in two groups, $n=50$ in each group. We used an assessment of ability of basic functioning at 4 time-points. The assessment comprises 6 questions, each scored 0 – 5. We do not have individual scores for each question, just total scores that range from 0 – 30. Higher scores indicate better fu...
g47854
[ -0.017405951395630836, -0.04598092660307884, -0.005420683417469263, 0.0049258749932050705, -0.019134070724248886, 0.015277153812348843, 0.0560862272977829, 0.04642542079091072, -0.022870123386383057, 0.04162922501564026, -0.01582394167780876, 0.044746849685907364, 0.03087868168950081, -0.0...
<p><strong>Background</strong></p> <p>I have a variable $X\sim Beta(2,1)$ and another variable $Y=\frac{X}{1-X}$</p> <p><a href="http://en.wikipedia.org/wiki/F-distribution#Related_distributions_and_properties" rel="nofollow">wikipedia states</a>: </p> <blockquote> <p>If $X \sim \operatorname{Beta}(n/2,m/2)$ then ...
g38142
[ 0.004034059122204781, -0.013573319651186466, -0.02331605553627014, -0.03413340449333191, 0.016768336296081543, -0.02012237347662449, 0.011092077940702438, 0.01101183332502842, -0.03329544886946678, -0.013792455196380615, -0.053498197346925735, -0.009835286065936089, 0.0602431446313858, 0.0...
<p>DBSCAN is most cited clustering algorithm according to some literature and it can find arbitrary shape clusters based on density. It has two parameters eps (as neighborhood radius) and minPts (as minimum neighbors to consider a point as core point) which I believe it highly depends on them.</p> <p>Is there any rout...
g61453
[ 0.00018974189879372716, -0.0022226262371987104, -0.007505853660404682, -0.029137326404452324, -0.00002700353979889769, -0.07136029750108719, 0.004664440639317036, -0.014707677997648716, 0.019889606162905693, -0.0034877515863627195, 0.04291374608874321, -0.004331145901232958, 0.09517735987901...
<p>I have a set of time series data, with each time point actually being a proportion (30 samples were taken, the data point is the % positive). This time series has been performed in triplicate with each replicate being biologically independent. If I was analysing this kind of data using a <em>t</em>-test, I would pai...
g61454
[ 0.00740392692387104, -0.006924605928361416, -0.012706396169960499, -0.028408562764525414, -0.007764776237308979, -0.003399086417630315, -0.01162457000464201, 0.024408629164099693, -0.04675182327628136, 0.017557639628648758, 0.014487464912235737, 0.02154661901295185, 0.019104212522506714, 0...
<p>I am reading a paper where they talk about keeping a prior explicit as opposed to an implicit prior. To be honest, I have never came across the terms explicit/implicit in context of priors and I was wondering if these are technical terms associated with prior distributions. Does an explicit prior simply means when t...
g18036
[ 0.04914376512169838, 0.0038448998238891363, 0.01563679426908493, -0.08479117602109909, -0.01860586553812027, 0.01691557839512825, -0.029220769181847572, 0.02287905476987362, -0.04002339020371437, -0.024090930819511414, -0.013126026839017868, -0.0029199381824582815, 0.03534926474094391, -0....
<p>I have some questions about how to analyze ranked data. </p> <p>The data looks like this: 4 groups of people with HIV and 16 other groups of people living in the same village were asked to rank 12 challenges for people with HIV according to importance. (f.e. physical health - social acceptance - mental health - ......
g61455
[ -0.018483320251107216, -0.012710502371191978, -0.00692276144400239, -0.03331035003066063, 0.0019243513233959675, -0.02252482995390892, -0.013879791833460331, -0.027193933725357056, -0.013744482770562172, 0.02100849524140358, 0.02198031358420849, -0.036752644926309586, -0.010366247035562992, ...
<p>Take a linear regression setup with two "blocks" of predictors. The typical measures for the contribution of each block over the other are asymmetric (say, likelihood change, RSS change etc.). Is there a symmetric measure?</p> <p>I assume it would be something in the lines of the likelihood change between the proje...
g61456
[ 0.008179874159395695, -0.007319004274904728, -0.02724485844373703, -0.041692256927490234, 0.025280477479100227, -0.050893187522888184, -0.02360844798386097, 0.04617520421743393, -0.029627453535795212, -0.012291229330003262, 0.01689780503511429, 0.04106200486421585, 0.03304256126284599, -0....
<p>Here are the bare bones of what I am looking at...please help!</p> <p>Pre-post intervention design for treatment group only (participants are randomized, but the control group is not a part of this study, only the treatment group)</p> <p>Approximately 65 participants in treatment group</p> <p>2 Dependent Variable...
g18037
[ -0.04348265752196312, -0.019529523327946663, -0.018451986834406853, -0.026036400347948074, -0.009586588479578495, 0.00450883386656642, 0.029253939166665077, 0.06036045774817467, 0.005643277429044247, -0.0443737655878067, 0.06578142195940018, 0.014589494094252586, -0.010069210082292557, -0....
<p>When we sample $n$ things from a multivariate normal distribution $N(\mathbf{\mu}, \mathbf{\Sigma})$, does this mean that we choose $n$ vectors of some fixed length $k$? For example, suppose $n=3$ and $k=3$. Then we choose $(X_1,X_2,X_3)_{1}$, $(X_{11},X_{22},X_{33})_2$ and $(X_{111},X_{222},X_{333})_3$? Note that t...
g61457
[ 0.014527310617268085, -0.02088683471083641, -0.02315090224146843, -0.004961005877703428, -0.036099713295698166, -0.0037926211953163147, -0.002196013228967786, -0.025009064003825188, -0.02637343853712082, -0.0009754967759363353, -0.003051403909921646, 0.028528675436973572, -0.0159253198653459...
<p>I'm using the <code>geepack</code> package in R to fit a variety of models to repeated measures data, albeit with varying cluster sizes. However, for some correlation structures ("exchangeable", for instance), I obtain unreasonably large estimates for my parameters, usually on the order of $10^{13}$ to $10^{16}$, wi...
g3749
[ 0.01858878694474697, 0.004541721660643816, -0.012674042023718357, -0.04316897317767143, 0.024102870374917984, -0.034520573914051056, 0.010492043569684029, 0.019320856779813766, -0.029389426112174988, -0.003899269737303257, -0.04411765933036804, -0.051778458058834076, 0.00005390872684074566, ...
<p>everyone, not sure if I do this appropriately. I wish to raise a related question: If I got </p> <p>X positively related to Y1, and X1 negatively related to Y2 (both in GLM), however the correlation coefficient between Y1 and Y2 is positive and significant (using SPSS). </p> <p>How can I interpret such result? S...
g61458
[ 0.016628824174404144, -0.019964829087257385, 0.004620687570422888, -0.019678698852658272, -0.00952204316854477, 0.03604395315051079, 0.010569230653345585, 0.0021645466331392527, -0.0046976287849247456, -0.03853769972920418, 0.024167200550436974, 0.039551351219415665, 0.056758813560009, 0.0...
<p>I am trying to really understand Sum of Squares, but what I read is either the summation formula for each one or answers like <a href="http://stats.stackexchange.com/a/19908/17112">this</a>. </p> <p>Could some one point me towards a good reference that gives a bit more detail, to explain the purpose and how each of...
g61459
[ -0.013738994486629963, 0.08042879402637482, -0.007725375238806009, -0.009148028679192066, -0.019915008917450905, -0.05470665916800499, 0.058073703199625015, 0.017504451796412468, 0.07832497358322144, -0.01858590543270111, -0.06514334678649902, 0.05263294279575348, 0.09263963252305984, 0.00...
<p>I am investigating whether different reward conditions may affect task performance. I have data from a small study with two groups, each with n=20. I collected data on a task that involved performance in 3 different "reward" conditions. The task involved performance in each of the 3 conditions twice but in random or...
g61460
[ -0.02900930866599083, -0.0093925716355443, -0.027001259848475456, -0.04012656584382057, -0.017799124121665955, -0.04068542644381523, 0.0012856005923822522, 0.010688044130802155, -0.01973111368715763, 0.0032583598513156176, -0.004347245674580336, 0.025372076779603958, 0.004467257764190435, ...
<p>I just read that you can now buy a <a href="http://en.wikipedia.org/wiki/Quantum_computer" rel="nofollow">quantum computer</a> (albeit that there has only been one sold so far!). </p> <p>Will quantum computing have any applications in statistics? </p> <p>{edit - for the purposes of the question let's assume that ...
g18041
[ -0.008751141838729382, 0.08576865494251251, 0.022594239562749863, -0.034431349486112595, -0.010859312489628792, -0.032460857182741165, 0.02431844174861908, 0.029201414436101913, -0.01583186723291874, -0.06432139128446579, -0.012224489822983742, 0.04455072060227394, -0.04349329695105553, -0...
<p>Sort of like the archipelago map in Age of Empires II</p> <p>(But this is actually a real question that I do need for my exoplanet research)</p>
g47872
[ -0.056680403649806976, 0.003937712404876947, -0.005755562335252762, -0.0780443325638771, 0.018566416576504707, 0.06553848832845688, -0.08031422644853592, -0.005700116511434317, 0.03209691867232323, 0.020437587052583694, 0.0599835142493248, 0.002682711696252227, 0.09850434958934784, 0.00141...
<p>I was wondering if someone could please help me with the following. I am trying to find the pdf of a set of dependent $\chi^2$ random variables. Suppose $x_1,x_2,...,x_n$ are independent normals $x_i \sim N(\mu_i, \sigma_i^2)$, not necessarily identical. Assume $n$ and all $\mu_i$'s and $\sigma_i's$ are known parame...
g5651
[ -0.021759023889899254, -0.008608551695942879, -0.02125454880297184, -0.02667837031185627, -0.05843498930335045, -0.07217966020107269, 0.008107240311801434, -0.016181327402591705, -0.02407744899392128, 0.06771541386842728, -0.004605953115969896, 0.043749965727329254, -0.028200697153806686, ...
<p>Following my previous question (<a href="http://stats.stackexchange.com/questions/15141/how-to-create-a-dataset-with-conditional-probability">How to create a dataset with conditional probability?</a>), now I want to create a dataset in R containing the information about TWO symptoms, and 1 disease.</p> <p>Symptoms ...
g61461
[ 0.016242705285549164, -0.01837315410375595, -0.019081873819231987, -0.05028167739510536, -0.03139350563287735, 0.0012788957683369517, -0.016989246010780334, 0.007405573036521673, -0.028933066874742508, -0.05480709299445152, -0.002506114775314927, 0.021427346393465996, 0.05187853053212166, ...
<p>I am using MPlus 7.0 to run a factor analysis on a set of survey item data measuring positive traits. I have used both oblique and orthogonal rotations and also have run it as a bifactor model. I ask for a 2 to 15 factor solution in each case.</p> <p>The results always come back that the last half of the factors...
g18044
[ 0.028413917869329453, 0.008790295571088791, 0.0045575834810733795, -0.10505612939596176, 0.05824015662074089, -0.005168380681425333, 0.014509288594126701, -0.03585677593946457, -0.02670157700777054, 0.0005115391104482114, -0.014634480699896812, 0.0007220523548312485, 0.019633447751402855, ...
<p>I have network data of organisations and weighted links between these organisations, the weight indicates level of trade between these organisations. I have attribute files against each organisation relating to the number of environmentally friendly production technique they have intitiated - for example, in respon...
g18046
[ 0.030386153608560562, 0.016312438994646072, -0.027629634365439415, -0.0619170106947422, 0.01509423740208149, -0.04715884476900101, 0.03604234382510185, 0.05544547736644745, -0.06472155451774597, 0.013167980127036572, 0.0013760575093328953, 0.03108009323477745, 0.07793265581130981, 0.008882...
<p>Is there any literature on linear regression analysis where we require that our residuals are non-positive?</p> <p>That is, we are interested in minimising:</p> <p>$\sum_i \max(y_i - b x_i,0) $</p> <p>EDIT: The motivation comes from Finance. I want to hedge a given portfolio of securities with value $P(t)$ with s...
g18047
[ 0.02216985449194908, 0.009556383825838566, -0.023364143446087837, 0.009815066121518612, -0.009034594520926476, -0.023930970579385757, 0.017874760553240776, -0.011239166371524334, -0.034005917608737946, 0.01564500853419304, -0.029693976044654846, 0.014604369178414345, -0.01777075044810772, ...