question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I am sure this already exists but I just don't know the terminology to look for.</p>
<p>I have three sets of 10 measurements. Each set corresponds to a different geographic region.
So in total I have 30 measurements of my variable, and I have the factor "region" with 3 levels (west region, middle region, east regio... | g68931 | [
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<p>I have an experiment where every person needs to take reaction tests when he/she is sober, then when lightly and then heavily intoxicated.</p>
<p>I need to perform a test that tells if the intoxication had effect on the reaction tests on a specific person. (I am NOT testing if the intoxication have effect on the re... | g68932 | [
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<p>I have to analyze results from an experiment and I’m not sure about how could I do it… The experiment is about the effect of some particularly distorted image typology on response time.
The design is as follows: 30 participants watched two movies (A/B), each of them in a different image quality (distorted/no-distor... | g39221 | [
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<p>Is it meaningful to compare the coefficients of two different predictors in multilevel model when the two are at different levels? </p>
<p>Specifically I have two variables which measure the same construct at two different levels (individual and group). I am using R package <code>nlme</code> to fit a multilevel mod... | g29164 | [
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<p>Vehicles in a certain country are required to be assessed every year for road-worthiness. At one vehicle assessment center, drivers wait for an average of 15 minutes before the road-worthiness assessment of their vehicle commences. The assessment takes on average 20 minutes to complete. Following the assessment, 80%... | g68933 | [
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<p>Does anyone here know the exact definition of Profile Likelihood? Or does it have one?</p> | g29166 | [
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<p>I'm trying to model users' posting behavior during a day. Say we have a bunch of users, with the time they post tweets. Now, for each user, I would like to estimate the likelihood of he post a new tweet at 9:00am according to his historical posting behaviors. </p>
<p>I'm curious what distribution I could pose here.... | g26443 | [
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<p>Context: I'm developing a system that analyzes clinical data to filter out implausible data that might be typos.</p>
<p><strong>What I did so far:</strong></p>
<p>To quantify the plausibility, my attempt so far was to normalize the data and then compute a plausibility value for point p based on its distance to kno... | g17781 | [
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<p>For the following problem:</p>
<p>$\text{min:}\ f(x)\\
s.t. \ g(x)\leq t$</p>
<p>Is the above problem equivalent to the following problem?</p>
<p>$\text{min:}\ f(x) + \lambda g(x) \\
s.t. \ \lambda\geq0$</p>
<p>where $t$ and $\lambda$ are variables. It seems equivalent, because if we increase $\lambda$, $t$ will... | g18628 | [
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<p>I am doing a pre- and post-test intervention. I have two groups, each doing a different intervention. I will test the success of the interventions using three outcome measures. </p>
<p>In another way to look at it, one group is the control group. One of the outcome measures is a check to make sure that the control ... | g68934 | [
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<p>This is my training data: 200,000 Examples x 10,000 Features.
So my training data matrix is - 200,000 x 10,000. </p>
<p>I managed to save this in a flat file without having memory issues by saving every dataset one by one (one example after another) as I generate the features for each example.</p>
<p>But, now when... | g68935 | [
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<p>My research design is 2(Ear) x 3(Factor A) x 3(Factor B) with repeated measures on all factors. For 2 way-repeated ANOVA, I used laterality index (normal distribution, calculated from % of responses from both ears) as dependent variable (DV) while Factor A and B are independent variables (IV). I obtained significant... | g68936 | [
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<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/2691/making-sense-of-principal-component-analysis-eigenvectors-eigenvalues">Making sense of principal component analysis, eigenvectors & eigenvalues</a> </p>
</blockquote>
<p>I am currently going throu... | g49447 | [
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<p>My dataset has numerical variables and one "Note" variable with around a paragraph of text.
I'd like to classify the data with an unsupervised learning algorithm.</p>
<p>I've done some searching and one method of dealing with the text variable is converting it into a Bag of Words representation. LDA and TF-IDF also... | g68937 | [
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<p>I am trying to fit a Generalized Partial Linear Model using the package <code>gam</code> in R. I have one continuous predictor <code>EDUC</code> and 3 categorical predictors: <code>MaxDem</code>, <code>SEX</code>, <code>HispAA</code>. </p>
<p>This is my model: </p>
<pre><code>gam(formula = ap ~ MaxDem + HispAA + S... | g68938 | [
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<p>A variable was categorized into 10 equally spaced intervals from a continuous variable which was originally in proportion. Now, we have to use this variable in CATREG procedure. If we choose the optimal scaling level to be 'ordinal' then quantification for the last seven categories are the same. That means the obser... | g29174 | [
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<p>I have some dichotomous data, only binary variables, and my boss asked me to perform a factor analysis using the tetrachoric correlations matrix. I’ve previously been able to teach myself how to run different analyses based on the examples here and at the <a href="http://www.ats.ucla.edu/stat/r/">UCLA’s stat site</a... | g38097 | [
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<p><em>Previously I asked this question to R-help (finance group) however, could not get a satisfactory reply (probably this is not directly related to R.) Here is my question:</em></p>
<p>Is there any possible way to get 2 continuous distributions (defined on the real line) such that, both distributions have same 1% ... | g29176 | [
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<p>I have some time course data which plotted looks like this:</p>
<p><img src="http://i.stack.imgur.com/nkdV5.png" alt="enter image description here"></p>
<p>I have fitted a mixed model to my raw datapoints with R's <code>lme4::lmer</code>, as seen in <a href="http://nbviewer.ipython.org/urls/gist.github.com/TheChym... | g29178 | [
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<p>I would like to ask if there is any problem / concern with Sobel test when I use survey data? In particular, I was using the web-based calculation tool <a href="http://quantpsy.org/sobel/sobel.htm" rel="nofollow">here</a> based on coefficients derived from regression analysis using survey command. I also hope to kno... | g68939 | [
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<p>Say I have some normally distributed data. I have an application where I compute the percentile (or cumulative frequency less than sample) for a particular sample using a CDF function along with the mean $\mu$ and standard deviation $\sigma$ of the samples.</p>
<p>so $$F_x(x) = \frac 12\left[1 + \text{erf} \left (\... | g68940 | [
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<p>I am new to optimization in particular so I think what I am looking for is vocabulary to describe a particular area of problems. In many (all?) optimization algorithms you need to take the gradient of the objective function at various points in the algorithm. </p>
<p>Many examples I find assume you already know the... | g68941 | [
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<p>I've got 2 tables, clicks and impressions.</p>
<p>The clicks table saves a user's clicks on an advertisement. It is something like:</p>
<pre><code>advertise id, user id, time of click
</code></pre>
<p>The impressions table saves the impressions that a user made to an advertisement. It is like:</p>
<pre><code>adv... | g68942 | [
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<p>I am using an analysis for an experiment that I consider suboptimal. I am asking for any suggestions to improve this. I will briefly outline the experiment and what I’ve done, then ask your advice.</p>
<p>The experiment is a two-alternative forced-choice task. Participants view two images side by side. Immediately ... | g29182 | [
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<p>I conducted an experiment but I have difficulties in finding a proper statistical analysis.</p>
<p>The experiment consiste of a listening test in which participants had to rate the audio stimuli along 5 scales representing an emotion (sad, tender, neutral, happy and aggressive).
Each audio stimulus was created in o... | g39238 | [
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<p>Let's say I want to run a difference of proportions test where each side has n=23,000 but their proportions are 0.21% and 0.34%.</p>
<pre><code> group1 group2
n 23000 23000
x 50 78
prop 0.21% 0.34%
</code></pre>
<p>both <code>n(p) > 50</code> & <code>n(1-p) > 50</code> </p>
<p>... | g68943 | [
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<p>This has been driving me crazy, so I thought I'd come and ask for some help:</p>
<p>I'm doing a study involving content analysis of newspapers. The unit of analysis is each day, adding all stories for the day. Overall, there are 4 variables for each case (i.e. number of stories per day, column-inches total, etc.)... | g24257 | [
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<p>Is there a common method used to determine how many training samples are required to train a classifier (an LDA in this case) to obtain a minimum threshold generalization accuracy?</p>
<p>I am asking because I would like to minimize the calibration time usually required in a brain-computer interface.</p> | g68944 | [
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<p>I've been working on a power analysis for an RCT study for a psychological intervention. And I've been wondering how one would estimate the covariance matrix (or rho) for repeated measures data? This is more of an academic question, since I have data from previous studies that I can use. But I'm curious what one wou... | g29186 | [
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<p>I've been reviewing Bayesian literature in an attempt to utilize Bayesian inference for hypothesis testing when I have very well established priors, but there's one thing I cannot get my head around:</p>
<p>Why is the normalizing constant unimportant in determining the posterior when using MCMC methods? I understan... | g68945 | [
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<p>I'm just curious about the null hypothesis of a Mann-Whitney U test. I often see it stated that the null hypothesis is that two populations have equal distributions. But I'm thinking - if I had two normal populations with the same mean but extremely unequal variance, the Mann-Whitney test would probably not detect t... | g29191 | [
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0.017996447160840034,
0.... |
<p>I have a data set with experimental data that I am analysing with multilevel modeling. Data are structured as follows: </p>
<ul>
<li>24 Sessions</li>
<li>6 Subjects per Session</li>
<li>10 Rounds per Subject</li>
</ul>
<p>There was one between-subjects variable (<code>Role</code>: three subjects each per <code>Ses... | g68946 | [
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<p>Given a large amount of data, how would I determine the degree of collinearity between all the variables? Preferably without relying on calculating linear regression between a variable and every other variable? Specifically, I need to find the collinearity between any single variable and every single other variable.... | g68947 | [
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... |
<p>I've noticed in my own work this pattern when examining a <em>spatial</em> correlogram at varying distances a U-shaped pattern in the correlations emerges. More specifically, strong positive correlations at small distance bins decrease with distance, then reach a pit at a particular point then climb back up. </p>
<... | g68948 | [
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<p>I am trying to understand over-fitting. I am using a regression tree method in Matlab. The given sample size is 500, which I divide into a training set of 400 and a test set of 100. I create the model for the training set and get a corresponding R-square of about 84%. i.e. the in-sample R-square is 84%.</p>
<p>When... | g5649 | [
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0.005313643720000982,
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0.01533782109618187,
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0.020778508856892586,
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0.04809504374861717,
0.03746091201901436,
0.0... |
<p>I am using the bandplot function from <a href="http://cran.r-project.org/web/packages/gplots/gplots.pdf" rel="nofollow">gplots</a>.</p>
<pre><code>install.packages("gplots")
library("gplots")
x <- abs(rnorm(500))
y <- rnorm(500, mean=2*x, sd=2+2*x)
bandplot(x,y)
</code></pre>
<p><img src="http://i.stack.img... | g68949 | [
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0.... |
<p>If I estimate the following regression on a large data set:
$y = b_0x_0 + b_1x_1 + b_2x_2 + b_3x_3 + b_4x_4$
where $x_0, x_1,...x_4$ are all dummy variables indicating group membership, and I create two new variables, $x_5$ and $x_6$, that indicate membership such that $x_5$ indicates $x_0, x_1$, or $x_2$ being swit... | g68950 | [
0.012138349935412407,
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0.04461836442351341,
0.005403338931500912,
... |
<p>I'd like to know I can approach this problem: I've investigated 2329 items, with the following distribution, 10 values(1st column) and percentages(2nd column):</p>
<pre><code> 2 1.0%
3 19.9%
4 7.2%
5 11.9%
6 10.9%
7 19.6%
8 14.0%
9 14.1%
10 1.4%
11 0.1%
</code>... | g68951 | [
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<p>I would like to use R “optimize” function to estimate the model:</p>
<p>$\hat{Y_{t}}=a\cdot \hat{Y}_{t-1}+b\cdot X_{t}+c\cdot X_{t-1}$</p>
<p>Important thing is that the predition $\hat{Y_{t}}$ (let’s say prediction of Y on Tuesday) is calculated on the basis of former prediction $\hat{Y}_{t-1}$ (not real value of... | g39254 | [
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<p>Assume that we have one or several multinomial samples (e.g., surveys) taken from our population. While inferring characteristics (such as mean values, correlation, ...) from a multinomial sample is a common statistical task, generating a <em>likely full population</em> doesn't seem to be that common.</p>
<p>It is ... | g39255 | [
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0.0828988254070282,
... |
<p>I have 3 research questions.<br>
1) Does increased hyperlink insularity cause better user understanding?<br>
2) Does increased hyperlink insularity cause better user perceived security?<br>
3) Does increased hyperlink insularity cause better user possible product adoption? </p>
<p>Two independent samples where use... | g68952 | [
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0.03662540018558502,
0.002949798246845603,
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<p>So far the only constraint I've found for sampling from some target distribution $\pi(x)$ is that the proposal distribution must include the support of $\pi(x)$. That's very vague. What makes a proposal distribution a good choice?</p>
<p>In my case, I am trying to figure out a proposal distribution to sample from $... | g68953 | [
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0... |
<p>I need to get the inflections points from the density curve, and the get a method from the following link:
<a href="http://stats.stackexchange.com/questions/68377/getting-the-inflection-points-from-a-density-plot">Getting the inflection point(s) from a density plot</a></p>
<p>But for my graph: <img src="http://i.st... | g29204 | [
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<p>Notes for my intro to probability class give a theorem which states the following:</p>
<pre><code>P(A) = P(A ^ B) + P(A ^ ~B)
</code></pre>
<p>What would the proof for this look like given the basic probability axioms?</p>
<p>Here's a list of axioms I start off with:</p>
<pre><code>0 <= P(A) <= 1
P(True) =... | g68954 | [
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0.014149188064038754,
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0.... |
<p>I am having a few problems understanding how logistic regression can be used with a dependent variable that is not binary or dichotomous but instead between proportions of 0 and 1. If any of you can enlighten me that would be wonderful. So far the most I can figure out is that if I were to use a linear regression th... | g44407 | [
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<p>This question is about understanding the logistic regression output using R. Here is my sample data frame:</p>
<pre><code> Drugpairs AdverseEvent Y N
1 Rebetol + Pegintron Nausea 29 1006
2 Rebetol + Pegintron Anaemia 21 1014
3 Rebetol + Pegintron Vomiting 14 1021
4 R... | g29207 | [
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-0.04865645617246628,
-0.039221785962581635,
0.06610816717147827,
0.059710387140512466,
... |
<p>I'm looking for a logistic regression model with high prediction power, and the best model returned by the <code>bic.glm</code> function has a posterior probability of 0.348. I performed a K-fold cross validation where K = 2 using the <code>cv.glm</code> function and the estimated prediction error is 0.26382. Howev... | g68955 | [
0.0754796713590622,
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0.023875700309872627,
0.013123131357133389,
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0.001218007761053741,
0.022630037739872932,
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0.03284890204668045,
0.0075363582000136375,
0.005647661164402962,
-0.0392... |
<p>It seems that a number of the statistical packages that I use wrap these two concepts together. However, I'm wondering if there are different assumptions or data 'formalities' that must be true to use one over the other. A real example would be incredibly useful. </p> | g49328 | [
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-0.04496310278773308,
0.04582582786679268,
-0.02958003431558609,
0.08443064242601395,
... |
<p>A number of well known moving averages, such as <a href="http://mathworld.wolfram.com/Spencers15-PointMovingAverage.html" rel="nofollow">Spencer's 15 point MA</a>, and <a href="http://www.seasonaladjustment.com/henderson.php" rel="nofollow">Henderson moving averages</a> have <em>negative</em> weights in the averages... | g39260 | [
0.03370581939816475,
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0.01650795340538025,
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0.010389142669737339,
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0.02513... |
<p>I have a minimisation problem in which the parameters are a mix of integers and scalars. Some of the integers have a small range, around 0-10 but others range in the thousands. To give some context, these are all hyper-parameters of machine learning algorithms. At each iteration for a given set of parameters a serie... | g39261 | [
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0.088694... |
<p>All of my statistical training has been about dealing with samples (psych background). I am involved in a project where we have a census dataset (demographic data from all the relocation sites throughout Phnom Penh, Cambodia). I am not certain if the usual methods of comparing group means, such as using an ANOVA or ... | g37441 | [
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0.011841587722301483,
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... |
<p>One standard model used with panel data is fixed effects: $y_{it} = \mu_i + \theta_t + \epsilon_{it}$, where $i$ is the individual and $t$ is time subscripts. This can be estimated easily with OLS and dummy variables.</p>
<p>The model assumes that there is a single underlying time series, $\theta_t$ for $t = 1,2,..... | g68956 | [
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0.023196306079626083,
0.010070576332509518,
0.03873571380972862,
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0.0221... |
<p>I wanted to create some contour plot to give confidence level say at 68% and 95% of some 2-dim multivariate normal distribution. (later I will have to go to 3-dim). I was wondering whether there was some nice prescription in here like in the normal distribution that is given by 1sigma deviation, 2sigma deviation, et... | g68957 | [
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0.05395065248012543,
0.001433354802429676,
0.044514819979667664,
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<p>I have calculated the bivariate linear correlation coefficient between $x$ and $y$ and it is $r= 0.45$; $p<001$.</p>
<p>I know $r$ is a measure of effect size. </p>
<p>Should I also be reporting the confidence interval in this case?</p>
<p>If yes, how can it be justified? i.e. why is it important to report it... | g29213 | [
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0.05238737165927887,
0.010209494270384312,... |
<p>I need to determine at what value of a variable <code>mictrb</code> there would be <em>almost</em> no correlation between two other variables: <code>Equivalent width</code> and <code>Abundance</code> (description and graphs below).</p>
<p>I have been told that when <code>mictrb = 0.9</code>, then there is no correl... | g68958 | [
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0.036... |
<p>Im not fully sure that this is the right place to ask, but I have a problem with pymc that I'm not able to grasp.</p>
<p>I'm trying to simulate a simple counting under two different scenario: Under the first hypothesis I expect a count of ten and under the alternative a count of 30.
Given that I presume a probabili... | g44440 | [
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<p>In mixed model, we assume the random effects (parameters) are random variables that follow normal distributions. It looks very similar to the Bayesian method, in which all the parameters are assumed to be random.</p>
<p>So is the random effect model kind of special case of Bayesian method?</p> | g68959 | [
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<p>I wonder if someone could provide some insight into if an why imputation for missing data is better than simply building different models for cases with missing data. Especially in the case of [generalized] linear models (I can perhaps see in non-linear cases things are different)</p>
<p>Suppose we have the basic ... | g68960 | [
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<p>I've seen it in a few pieces of econometric literature, and googling it turns up lots of papers using it, almost always in reference to state-space models and other dynamic linear regressions. </p>
<p>No papers I've read have defined it, though, and some even refer to it in "quotes" as if they're not sure themselve... | g39265 | [
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<p>Is there a term for using the best and worst results of a neural network classifier as labelled input for another neural network? Or isn't this approach valid at all?</p>
<p>E.g. I train a neural network and then I classify unlabeled samples with this neural network. The outputs I use a labelled training for a new ... | g68961 | [
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<p>I have random samples $X_1, X_2, X_3$ from $bernoulli(p)$. The critical region for testing $H_0 : p \leq 1/2$ vs $H_0 : p > 1/2$ is $C =\{(x_1,x_2,x_3): \sum_{i=1}^3 x_i \geq 2\}$.</p>
<p>Now I want to find the size of this test and the power function of the test.</p> | g68962 | [
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0.... |
<p>I consulted various books and get confused about what the differences in Assumptions for Regression Models, Ordinary Least Square (OLS), and Multiple Regression Models are?</p>
<p>As I read more about it I just get more confused. Is there a rationally understandable way to explain this that would not be confusing?<... | g68963 | [
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<p>Michael Chernick. First of I thank U very much for replying my query. I take liberty to clarify regarding my query further as follows and shall be obliged if you can help me out.
This was a prospective observational study of 48 weeks comprising three groups: Drug A(n=87), Drug B(=62) and Drug C(n=5).
QQ plots were a... | g29219 | [
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<p>There is a question with <a href="http://programmers.stackexchange.com/questions/25139/efficiency-of-self-education">similar intent on programmers.SE</a>. That question has some quite good answers, but the general theme seems to be that without self study, you get no-where. </p>
<p>Obviously there are some major di... | g39273 | [
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<p>I have a set of data which i need to explain and compare with ADF-GLS test and ADF test in eview. </p>
<p>I don't understand the principle of ADF-GLS test with trend and intercept or only intercept. However I fully understand ADF test alone.</p>
<p>Could someone explain to me what ADF-GLS test is and what my data ... | g68964 | [
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0.003087388351559639,
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0.0648842379450798,
0.004... |
<p>In order for the CLT to hold we need the distribution we wish to approximate to have mean $\mu$ and finite variance $\sigma^2$. Would it be true to say that for the case of the Cauchy distribution, the mean and the variance of which, are undefined, the Central Limit Theorem fails to provide a good approximation even... | g68965 | [
0.03094853274524212,
0.03641306981444359,
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... |
<p>In this paper:</p>
<p><a href="http://www.cmc.edu/pages/faculty/MONeill/Math152/Handouts/Joiner.pdf">Lurking Variables: Some Examples</a>
Brian L. Joiner
The American Statistician
Vol. 35, No. 4, Nov., 1981 227-233 </p>
<p>Brian Joiner claims that "randomization is not a panacea". This is contrary to common stat... | g68966 | [
0.025303781032562256,
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0.0... |
<p>A researcher is interested in how variables, such as GRE (continuous), GPA (continuous) and rank of the undergraduate institution (categorical), affect admission into graduate school. The response variable, admit/don't admit, is a binary variable. The data set is taken from <a href="http://www.ats.ucla.edu/stat/r/da... | g68967 | [
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0.0009687782730907202,
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0.017009319737553596,
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0.06738781183958054,
0.06614279747009277,
-0.00... |
<p>I wanted to reduce a large number of items down to a smaller number (e.g. 140 items to 40), and then show that these 40 items can accurately predict two related variables.</p>
<p>I have attempted CFA however this has revealed a very large number of factors (20+). I was wondering what statistical technique would be... | g68968 | [
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0.00660406518727541,
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0.06397067755460739,
0.02... |
<p>Following on from my related questions on <a href="http://stats.stackexchange.com/questions/13757/how-do-i-weigh-several-variables-at-two-levels-to-create-an-overall-composite-var">weighting scales at multiple levels</a> and differences between <a href="http://stats.stackexchange.com/questions/13805/is-there-a-diffe... | g68969 | [
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0... |
<p>I am trying to estimate a VEC model imposing zero restrictions manually as in the restrict() function for a VAR model. I do not know how to introduce different lags (for example lags 1 to 3 and lag 7) in a VEC model...
Thanks</p> | g29223 | [
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<p>I have been trying to figure out the MLE of the binomial distribution but online, several different sources have different answers. </p>
<p>For example, source 1 (<a href="http://cnx.org/content/m13500/latest/" rel="nofollow">http://cnx.org/content/m13500/latest/</a>) gives:</p>
<p><img src="http://i.stack.imgur.c... | g68970 | [
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0.07519735395908356,
... |
<p>Say we have a binary classification problem that we solve with Naive Bayes. All features are categorical variables. </p>
<p>Say we focus on a single feature that takes one of $N$ possible values. If $N$ is high, and we use a discrete distribution to encode it, the model complexity can rapidly increase (one $\theta$... | g68971 | [
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0.03763750195503235,
0.028017159551382065,
0.04439714178442955,
0.09... |
<p>I am doing a homework about infering the N value of a binomial distribution for my Bayesian Statistics Course and I have seen a paper in Biometrika magazine published in 1988 for doing so. The question is how to simulate the N and $\theta$ values based on their respective marginal posteriors. The properties about t... | g68972 | [
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<p>I'm reading a book on data-analysis and in my book I have the following picture of 3-dimensional data and its scatter plot:</p>
<p><img src="http://i.stack.imgur.com/JStuY.png" alt="3D data and scatter plot"></p>
<p>Could anyone help me understand how is the scatter plot interpreted? It confuses me at the moment.... | g68973 | [
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<p>I have a set of objects ${O_1, O_2, O_3, ..., O_n}$. I have calculated the pairwise distances of all possible pairs. The distances are stored in a $n\times n$ matrix $M$, with $M_{ij}$ being the distance between $O_i$ and $O_j$. Then it is natural to see $M$ is a symmetric matrix.</p>
<p>Now I wish to perform unsup... | g68974 | [
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0.008382769301533699,
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0.07299122959375381,
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<p>Aloha,</p>
<p>currently i have some trouble and question zu implement some kind of special missing value handling in WEKA J48 algorithm using WEKA JAVA API.</p>
<p>I want to test the performance of SHAPIRO approach zu handle missing value with imputation by using a decision tree to predict the value. Therefore, a ... | g68975 | [
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0.03190397098660469,
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0.0316297709941864,
0.05330721288919449,
0.06580... |
<p>I have the following dataset:</p>
<pre><code>urecovery time temp acid
1 86.88 -1 -1 -1
2 88.96 -1 0 0
3 93.68 -1 1 1
4 88.92 0 -1 1
5 86.96 0 0 -1
6 91.26 0 1 0
7 88.20 1 -1 0
8 93.20 1 0 1
9 88.75 1 1 -1
</c... | g68976 | [
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0.008679689839482307,
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0.020079946145415306,
0.012469454668462276,
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0.02811415307223797,
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... |
<p>Invariance property of MLE: if $\hat{\theta}$ is the MLE of $\theta$, then for any function $f(\theta)$, the MLE of $f(\theta)$ is $f(\hat{\theta})$. </p>
<p>Also, $f$ must be a one-to-one function.</p>
<p>The book says, "For example, to estimate ${\theta}^2$, the square of a normal mean, the mapping is not one-... | g5660 | [
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<p>I wonder under what condition I should use Bayesian logistic regression instead of standard logistic regression, or vice verse? </p>
<p>I have individual-level data regarding whether a person purchase a particular item online (say, 11 inch MacBook Air) or not (dependent variable y=1 if purchase, 0 otherwise), meanw... | g68977 | [
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<p>Hello fellow number crunchers</p>
<p>I hope this a valid question for this forum. I am a lonesome quarter-statistician and have trouble finding someone to ask.</p>
<p><strong>Introduction:</strong></p>
<ul>
<li><a href="http://en.wikipedia.org/wiki/A/B_testing" rel="nofollow">Wikipedia Explanation of AB-Tests</a>... | g68978 | [
0.0006481864838860929,
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0.052079927176237106,
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0.061445582658052444,
0.04... |
<p>I have a data set that I need to analyze in R. A simplified version of it would be like this</p>
<pre><code>SessionNo. Objects OtherColumns
A 2 .
A 3
B 4
C 1
D 2
D 1
D 2
D 3
E 5
... | g39283 | [
0.02259659953415394,
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0.004522544331848621,
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0.0029197398107498884,
0.03785495087504387,
0.... |
<p>While looking for a trend in stock data, is it more appropriate to look at the hourly closing prices or the daily closing prices or the monthly closing prices? Which one of these will produce more reliable forecasts? </p> | g68979 | [
0.017504077404737473,
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<p>I have several datasets containing hundreds of variables, measured at the same time point and with the same method.<br>
Some of these variables have been measured more often and assume consistent values. Some were measured less often and have highly disperse values.</p>
<p>Example:</p>
<pre><code>v1 2 1.8 1.5 1.9 ... | g68980 | [
0.018279895186424255,
-0.07202277332544327,
0.008840208873152733,
-0.019691526889801025,
-0.03663656488060951,
-0.02614128775894642,
0.011600120924413204,
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-0.003212042385712266,
0.0029259826987981796,
0.009708468802273273,
0.013846149668097496,
... |
<p>I have the weekly revenue data for an electronics company the decomposed plot of which is as follows: </p>
<p><img src="http://i.stack.imgur.com/9HWE6.png" alt="enter image description here"></p>
<p>I have decided to keep the seasonality and apply a suitable forecasting technique. I tried auto.arima:</p>
<pre><c... | g68981 | [
-0.0019331024959683418,
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0.06093336641788483,
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0.001692123361863196,
0.026690753176808357,
0.05804435536265373,
0.08155801147222519,
0.08860619366168976,
-... |
<p>I haven't done much time-series modelling at all and now I have a dataset which screams "time series" at me and now I am hunting for a model.</p>
<p>The data: Imagine a video watched by ~400 people, 100 seconds long. Each person had a slider from 0 (bad) to 10 (good) to indicate if they liked a particular scene. Th... | g68982 | [
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-0.027733994647860527,
0.06558072566986084,
0.038307033479213715... |
<p>I am comparing linear regression with and without intercept for the general sampling case.
For this, I have $n$ samples of two correlated random variables $X \sim N\left(0,\sigma_X^2\right)$ and $Y \sim N\left(0, \sigma_Y^2\right)$ with correlation $\rho$.</p>
<p>For the random samples, I calculate the linear regre... | g29235 | [
-0.012450163252651691,
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-0.03435647115111351,
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0.01318270806223154,
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0.027905846014618874,
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0.017... |
<p>I read some posts about this on this forum, but didn't seem to find an easy to understand explanation. so trying to post it here, please help to explain a bit more as i am not an expert on this but would really like to learn.</p>
<p>my question is almost just like the subject, say if I have some week over week stat... | g68983 | [
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0.040638960897922516,
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0.06629977375268936,
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-0.05315008759498596,
0.008482095785439014,
0.01675010286271572,
0.08555881679058075,
0.017... |
<p>Can this test for association (not homogeneity) be applied to matched pairs to make it an extension of the McNemar test across multiple strata? I have only seen independent variables (unpaired) applications.
What makes the test different to just summing everything up across populations and go with McNemar test, anyw... | g68984 | [
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0.011534753255546093,
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-0.0031868922524154186,
0.008323906920850277,
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<p>Is there a common name to refer to distributions that are bounded on one side, and unbounded on the other side? For example, log-normal distribution, where the minimum value is zero, the maximum is +infinity.</p> | g29238 | [
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0.06911562383174896,
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<p>here is my scenario:</p>
<p>I have N triangles and N probability distributions (of independent variables), and the support of the ith probability distribution is just the ith triangle.</p>
<p>The triangles may differ in size and shape, but the idea is that the different probability distributions are kind of "simil... | g68985 | [
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0.003602261422201991,
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0.011962370947003365,
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0.029992157593369484,
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0.07796715945005417,
0.... |
<p>I'm reading a paper where the statistic reported for testing the general significance of a multiple linear regression is a "Wald Chi Square" instead of the usual "F" statistic.</p>
<p>Is it the same thing to use the Chi Square statistic or the F statistic or in what occasions are the two used?</p> | g68986 | [
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0.038771070539951324,
0... |
<p>I am working on a paper, and have a problem regarding ellipsoid and Trivariate Normal Distribution. Suprisingly I can't find much in literature but I found your in one of your answers:</p>
<blockquote>
<p>Because this construction has nothing to do with "confidence" per se,
the objective is to establish some co... | g401 | [
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0.07005909085273743,
-0.05950... |
<p>How do you report results that give you a p-value of 0.08 for a two-tailed test and a p-value of 0.04 for a one-tailed test? Generalizing the issue, if you obtain a p-value between 0.05 and 0.9999 from a two-tailed test, does it make sense to proceed with a one-tailed test in the direction whose p-value is less than... | g68987 | [
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0.03295765444636345,
0.0220... |
<p>I am estimating a linear regression: $Y=f(X_1,X_2,X_3,X_4,X_5)$. My test shows that when the equation includes $X_4$ and $X_5$ only, $X_4$ is not statistically significant ($t$-value=1.26). However, When $X_1$,$X_2$,and $X_3$ are added, its significance is increased to significant level ($t$-value =2.36). In another... | g68988 | [
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... |
<p>As the title says, I'm looking for the marginal densities of $$f (x,y) = c \sqrt{1 - x^2 - y^2}, x^2 + y^2 \leq 1.$$ </p>
<p>So far I have found $c$ to be $\frac{3}{2 \pi}$. I figured that out through converting $f(x,y)$ into polar coordinates and integrating over $drd\theta$, which is why I'm stuck on the marginal... | g68989 | [
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<p>Python <a href="http://matplotlib.sourceforge.net/">matplotlib</a> has a <a href="http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.boxplot">boxplot command</a>.</p>
<p>Normally, all the parts of the graph are numerically ticked. How can I change the ticks to names instead of positions?</p>
<... | g68990 | [
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<p>Let's say I have some measurements, label them $N$, which depend on the variables $x$ and $y$.</p>
<p>Further, I hypothesize that there is a scaling relationship between $N$, $x$, and $y$ of the form $x^{\alpha}N = f(x^{\beta}(y-\gamma))$, where $\alpha$, $\beta$, and $\gamma$ are unknown parameters and $f$ is some... | g326 | [
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... |
<p>Is it possible to load an S-PLUS Linux workspace in Windows?</p>
<p>If I try it I get this error: "Problem in exists(name, where = db):
This directory has both Unix style __<em>nonfile and Windows style
_</em>_nonfi"</p>
<p>The __nonfi file is created when I first try to load that Linux
workspace in Windows.</p>
... | g68991 | [
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... |
<p>Please forgive the puzzled title and the length of this message - I
thought it would be best to be as complete as possible and to show the
avenues I have explored.</p>
<p>I'm trying to fit a linear model to data with a binary dependent
variable (i.e. Target.ACC: accuracy of response) using lrm, and
thought I would ... | g68992 | [
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-0.0002901407133322209,
... |
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