question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I have two time series, where i wish to test for Granger causality of lagged values of $x$ on $y$, $y$ is changed to "rate-return" and $x$ is the positive or negative "rate-return", that is everywhere positive, and 0 where negative, where both variables are stationary. I fit the model by some autoregressive order p ... | g61349 | [
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<p>I am doing study investigating the effect of company's heritage on consumer attitude towards the company/brand. For this purpose I have created two texts:</p>
<ul>
<li>one revealing the history of the company, </li>
<li>and the other one - the control text - revealing some general information about the firm. </li>
... | g61350 | [
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<p>I have the number of people diagnosed with a condition in each quintile of deprivation over five different years. We are interested in whether numbers of diagnoses are going up faster in more deprived quintiles. The data looks like this:</p>
<p><img src="http://i.stack.imgur.com/QZwzV.png" alt="enter image descript... | g61351 | [
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<p>I have a certain family of models with latent random variables (not observed in the data), which I have a consistent estimator for.</p>
<p>I now run EM on top of it, meaning, I get the consistent estimation, and initialize EM with it and run it for another few iterations.</p>
<p>I know that EM has problem with loc... | g17903 | [
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<p>I am cross validating a classification tree and am able to plot the number of observations misclassed by different sizes of trees. My question is, what does it mean to return "the" number misclassed, for a given tree size, when there were <em>k</em> different runs of that sized tree (where each of the <em>k</em> run... | g29797 | [
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<p>I share the same birthdate as my boyfriend, same date but also same year, our births are seperated by merely 5 hours or so.</p>
<p>I know that the chances of meeting someone who was born on the same date than me is fairly high and I know a few people with whom I share my birthday although for the little I've read a... | g9828 | [
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<p>I'm trying to implement Principal Component Analysis (PCA) in a portfolio replication procedure.
(The replication procedure looks like regression: there is a vector representing payoffs of an asset under different ecocnomic scenarios, I need to find a linear combination of vectors of another assets that fits the mo... | g61352 | [
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<p>I'm running Cox proportional hazards regression in R, and would like to test the option of categorizing one of my continuous variables to factor (I'm aware of the loss of data issue, just checking). </p>
<p>Another thing that I'd like to check is putting the difference between 2 cont. variables inside the regressio... | g47666 | [
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<p>I have been learning about Bayesian statistics, and I often have read in articles </p>
<blockquote>
<p>"we adopt a Bayesian approach"</p>
</blockquote>
<p>or something similar. I also noticed, less often: </p>
<blockquote>
<p>"we adopt a <strong>fully</strong> Bayesian approach"</p>
</blockquote>
<p>(my emph... | g47669 | [
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<p>I have a dataset where there is a high degree of multicollinearity, with all variables correlating positively with each other and the dependent variable. However, on some of the models I run I get a couple of significant negative coefficients. Basically there are two coefficients that depending on what variables I i... | g17907 | [
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<p>I am looking for a good book to study from to learn
about statistical genetics. I have no background in
biology, some learning in chemistry, reading some
of Griffith's book on genetic analysis but I am
interested in just statistical genetics.</p>
<p>I have ordered the book reviewed in the most current
edition of Am... | g61353 | [
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<p>I am not sure which test I have to use to analyze my data. The situation is as follows:</p>
<p>I have two computer programs which are doing exactly the same. Both share a large amount of source code, but some parts were developed with different technologies. I want to test the effect of the different technology. I ... | g61354 | [
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<p>I'm trying to model AR1 using <code>dlmModReg()</code>. The main purpose is to keep phi a variable so that if phi >1, I know that mean reversion is not occurring.</p>
<p>Below is my code:</p>
<pre><code>buildFun <- function(x) {dlmModReg(e1, addInt = FALSE, dV = exp(x[1]), dW = exp(x[2]))}
fit <- dlmMLE... | g61355 | [
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<p>When I study the Bayesian econometrics, the book firstly introduces Gamma-Normal distribution as (conjugate) prior, then the posterior will have the same distribution as the prior. But my question is, why can't we use other simple distribution as prior for the introduction example, such as normal distribution, why d... | g17910 | [
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<p>Is it better to difference a series (assuming it needs it) before using an Arima OR better to use the d parameter within Arima?</p>
<p>I was surprised how different the fitted values are depending on which route is taken with the same model and data. Or am I doing something incorrectly?</p>
<pre><code>install.pack... | g47678 | [
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<p>EDIT: I've modified my STAN code and it looks like I am getting numbers close to using R's <code>arima</code>. The original code, now moved to the end, was incorrect.</p>
<p>I've been using STAN for simple things, but want to do a linear regression that has ARMA(1,1) noise. I've heard that this is basically equival... | g61356 | [
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<p>I am working with a small dataset (21 observations) and have the following normal QQ plot in R: </p>
<p><img src="http://i.stack.imgur.com/kLcP7.jpg" alt="enter image description here"></p>
<p>Seeing that the plot does not support normality, what could I infer about the underlying distribution? It seems to me that... | g61357 | [
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<p>Given that I want to run Weka in a single PC, is it a good a idea to use boosting with a three layer feedforward neural network as a base learner? Why or why not?</p>
<p>I think boosting requires a lot of computational power as it trains several base learners and averages them (am I right?), but how can I know it w... | g17913 | [
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<p>I am carrying out a study in which I have $3$ groups $n= 2$, $n= 5$, $n=17$. Each group has a different inner ear abnormality, following the fitting of an ear implant I have measured their speech (ordinal data) and hearing scores (continuous data) at 1 and 2 years.</p>
<p>The group with only $2$ patients in must be... | g61358 | [
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<p>Suppose I have estimated the discrete income distribution for Maryland, and the average distribution for the U.S. What is the algorithm or method to estimate the income distribution for Pennsylvania, for example, based on these two pieces of information? I know bringing in some additional information that helps expl... | g17914 | [
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<p>I have a variable $\mu$ with distribution, given $\phi$ of $ \mu|\phi \sim N(\phi, \sigma^2)$, and the distribution of $\phi$ is $\phi \sim N(\nu, \tau^2)$. (Here, $\sigma^2,\nu$ and $\tau^2$ are known).</p>
<p>I need to find the marginal prior distribution of $\mu$, but am not sure what this means. </p>
<p>Any he... | g61359 | [
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<p>I'm trying to evaluate the curvature of an image of a pencil stroke based on the image's pixels and their shade of gray. I'm trying to get the curvature of the line at every point of the stroke. The part I'm not sure is the calculation of the curvature itself considering the noise.</p>
<p>Here is how I'd process:</... | g17916 | [
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<p>Consider the following dataset:</p>
<pre>
patient id, gender, age, systolic blood pressure, diastolic blood pressure
1, male, 66, 120, 80
1, male, 66, 119, 83
2, female, 45, 119, 90
3, female, 55, 120, 19
</pre>
<p>Using this dataset, I can calculate, for example, what the distribution of systolic blood pressure m... | g61360 | [
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<p>If we have a spatial autoregressive process, we can estimate a model to control for the autoregression with a spatial lag,
$$y=\rho W y + X\beta + \epsilon$$
Where $\rho$ is the strength of the spatial correlation, and $W$ is a matrix of spatial weights. The <code>spdep</code> package for R contains the <code>lagsar... | g47684 | [
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<p>I'd like to generate random data from a constrained normal distribution using R.</p>
<p>For example I might want to simulate a variable from a normal distribution with <code>mean=3, sd= 2</code> and any values larger than 5 are resampled from the same normal distribution.</p>
<p>Thus, for the general function, I c... | g61361 | [
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<p>I am comparing several treatments (8) at three time-points.
For ease of analysis, I combined these data on a a two-way ANOVA table in Prism and ran the analysis.
The first two time-points had stat sig differences between grouped variables, and the latter none.
When I reran the exact same data, one time-point at a t... | g17919 | [
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<p>I am in the midst of analyzing data that I thought were rather simplistic, but I find myself in need of guidance. The function <code>lmer()</code> has been suggested, but I'm unclear about groups to be included when identifying random effects despite consulting every resource I could get my hands on. I think I know ... | g61362 | [
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<p>I am trying to come up with a metric to calculate user preference correlation for my final project (a web-shop for shoes) at school. Originally I intended to include user ratings and use Pearson's correlation coefficient but building a rating system might be part of the exam so I have to leave that to the side for n... | g61363 | [
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<p>Is maximin a machine learning algorithm, or simply another concept which is used for increasing the probability of winning?</p> | g61364 | [
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<p>Let's say we have a mathematical model that provides the probability of finding oil at a location in terms of a system of 10 bins with probabilities going from very low, say 2%, to 20% for the best bin.
Let's also assume that <em>one</em> of the measures we use to monitor the performance of this model is the Powers... | g61365 | [
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<p>For a university paper, I have to compare whether two program versions are statistically significantly different. The comparison in terms of runtime performance is straightforward -- I determine whether the confidence intervals for the two sets of measurements overlap. However, in the case of memory footprint, I hav... | g17925 | [
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0... |
<p>It is known that <a href="http://en.wikipedia.org/wiki/Belief_propagation" rel="nofollow">belief propagation</a> gives exact result on trees, are there interesting examples when <a href="http://www.merl.com/publications/TR2001-22/" rel="nofollow">Generalized Belief Propagation</a> is exact? (<b>edit</b> junction tre... | g47696 | [
-0.005704929120838642,
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<p>I would like to gather input from people in the field about the Yates continuity correction for 2 x 2 contingency tables. <a href="http://en.wikipedia.org/wiki/Yates%27_correction_for_continuity" rel="nofollow">The Wikipedia article</a> mentions it may adjust too far, and is thus only used in a limited sense. The <a... | g17926 | [
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<p>Thanks for all the answer for the question <a href="http://stats.stackexchange.com/questions/4539/calculation-of-incidence-rate-for-epidemiological-study-in-hospital">Calculation of incidence rate for epidemiological study in hospital</a>. And here come's the second part of the question:</p>
<p>What about the preva... | g61366 | [
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<p>I have a big problem grasping the definition of "quickly" in the following sentence:</p>
<p>"We need it to be weakly dependent, which occurs when the correlation between $x_{t}$ and $x_{t+h}$ tends towards zero sufficiently quickly as $h\rightarrow \infty$."</p>
<p>So in the text it said that formally it means: "$... | g61367 | [
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0... |
<p>I have a set of mutually independent normal distributions $X_1$ to $X_5$ (with means and standard deviations) which represent finishing times for swimmers over a certain distance. The actual data is as follows:</p>
<p>$$X_1(60, 3.0)$$
$$X_2(61, 1.0)$$
$$X_3(58, 2.3)$$
$$X_4(63, 2.4)$$
$$X_5(61, 1.7)$$
So swimmer 1 ... | g17929 | [
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<p>I have a data set of N people, T items. Let's say N=100, and T=10. </p>
<p>Each person goes through the following exercise. </p>
<ol>
<li>She is shown 2 random items from the set of T=10, and ranks them as rank 1 and 2. </li>
<li>She is next shown 2 more random items from the remaining 8 out of 10 items, and ranks... | g17930 | [
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<p>I am trying to understand the d-Separation logic in Causal Bayesian Networks. I know how the algorithm works, but I don't exactly understand <strong><em>why</em></strong> the "flow of information" works as stated in the algorithm.</p>
<p><img src="http://i.stack.imgur.com/gPnim.png" alt="enter image description her... | g61368 | [
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<p>I'm working on multivariate process monitoring using NLPCA method.
I need MATLAB code to implement this method.</p> | g61369 | [
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... |
<p>So our data is structured as follows:</p>
<p>We have $M$ participants, each participant can be categorized into 3 groups (<em>G</em> $\in {A,B,C}$), and for each participant we have $N$ samples of a continuous variable.
And we are trying to predict values that are either 0 or 1.</p>
<p>How would we use matlab to ... | g3720 | [
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<p>We are currently writing a paper with several one-sample Wilcoxon tests. While visualizing two-sample tests is easy via <em>boxplots</em>, I was wondering whether there is any <strong>good way to visualize one-sample test results?</strong></p>
<pre><code># Example data
pd <- c(0.80, 0.83, 1.89, 1.04, 1.45, 1.38,... | g17932 | [
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0.017495090141892433,
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0.03818964213132858,
0.04802098125219345,
0.04432619363069534,
0... |
<p>Is there a package in <code>R</code> that can do this plot on LDA data
graph plot: <img src="http://i.stack.imgur.com/x1wle.jpg" alt="enter image description here"></p>
<p>original question: <a href="http://stats.stackexchange.com/questions/22884/how-does-linear-discriminant-analysis-reduce-the-dimensions">How doe... | g29942 | [
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0.0666462853550911,
0.0494355708360672,
0.01442... |
<p>I am currently doing exam revision, and I am stuck on a question in one of the past exams. It asks us to data scale the following equation:</p>
<p>$\ln W$ = 2.54 + 0.4<code>Educ</code> + 0.25<code>Exper</code> - 0.025<code>Exper</code>² + 0.29<code>Tenure</code> + <em>u</em>.</p>
<p>It asks us to scale <em>W</em> ... | g29401 | [
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0.0183575376868248,
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0.0761227160692215,
0.07311302423477173,
-0... |
<p>Is the following plot a 2d histogram or a 3d histogram? On one hand it has 2 dimensions of data, but on the other, the plot itself is 3 dimensional.</p>
<p><img src="http://i.stack.imgur.com/fWVZy.png" alt="enter image description here"></p> | g61370 | [
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<p>I have a classification model which is slow to run. I generate test data with 3 classes (the real data has 21 at the moment and growing), and I have run the classifier and I get a confusion matrix after holding back on 80 percent (similar to the real data rate) of the labels and then testing the classifier predicti... | g61371 | [
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0.037620529532432556,
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... |
<p>I am developing an app for time series analysis that should support the following:</p>
<ul>
<li>Exponential Smoothing (Holt-Winters) </li>
<li>Box-Jenkins </li>
<li>curve fitting (straight line, quadratic, exponential, growth)</li>
<li>multiple regression</li>
<li>Croston's intermittent demand model and discrete da... | g47712 | [
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0.063215009868144... |
<p>I have a set $S$ of $N$ real numbers. I wanna calculate the mean $m$ variance $v$ of $S$. But since $N$ is too large, I do not want to use all of the numbers. Instead, I would like to sample $n$ numbers uniformly randomly from the $N$-number set $S$, such that mean and variance of the sampled set does not deviate to... | g61372 | [
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... |
<p>I have a time series that contains double seasonal components and I would like to decompose the series into the following time series components (trend, seasonal component 1, seasonal component 2 and irregular component). As far as I know, the STL procedure for decomposing a series in R only allows one seasonal comp... | g61373 | [
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<p>I've been assigned this question as "homework":</p>
<blockquote>
<p>Run a simulation study to examine the performance of the bootstrap for obtaining 95% confidence intervals on the mean of a univariate sample of data.</p>
<p>You should look at confidence interval coverage (what proportion of times
does the... | g61374 | [
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0.03534099459648132,
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<p>I have a question regarding variance, paired testing and minimum detectable difference (MDD).</p>
<p>Paired samples:
$$
MDD (δ) = \sqrt{ \frac{σ^2}{n} (t_{(α/2,n-1)} + t_{(1-β, n-1)})}
$$
I have a set of baseline samples ($A$) sampled at time 0. Because acquiring those samples is destructive, I’m unable to re-sampl... | g46219 | [
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0.05960273742675781,
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... |
<p>For example, I have historical loss data and I am calculating extreme quantiles (Value-at-Risk or Probable Maximum Loss). The results obtained is for estimating the loss or predicting them? Where can one draw the line? I am confused. Thank you very much for help in advance. </p> | g3727 | [
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<p>From what I understand, there is a relationship between bias and underfitting; as well as variance and overfitting.</p>
<p>Is a 'biased model' another word for an 'underfitted model'? Likewise, is a "varianced' model" another word for an 'overfitted model'?</p> | g15901 | [
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<p>I have been asking a number of separate questions as each are unique in themselves but connected to my learning process in running mixed effects models. I apologise if i am becoming a nuisance.</p>
<p>Basically I learned how to run a model correctly using lme4 (an lmer) and as I had many factors I was then able to ... | g61375 | [
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<p>The G-Test: <a href="http://en.wikipedia.org/wiki/G-test" rel="nofollow">http://en.wikipedia.org/wiki/G-test</a> is a way to get quick estimates of a chi squared distribution, and is recommended by the author of this well-known A/B test tutorial: <a href="http://elem.com/~btilly/effective-ab-testing/" rel="nofollow"... | g17948 | [
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0.018384551629424095,
0.0702608972787857,
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0.0529555007815361,
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<p>I'm analyzing a data set of installation rates of lighting fixture projects and want to determine the expected installation rate and the confidence interval. Projects have various numbers of fixtures intended to be installed and the most common rate is 100% followed in frequency by a handful of 0% and then a small n... | g61376 | [
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0.025778409093618393,
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0.02935476414859295,
0.0083... |
<p>I am performing experiments on randomized algorithms, and want to do it scientifically sound.</p>
<p>What relative standard error of mean (RSEM) is acceptable? I know that often RSEM<30% or RSEM<25% is used, but does that also apply for randomized algorithms?</p>
<p>What paper/book can I cite that give a rel... | g17949 | [
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0.0279323011636734,
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0.034591373056173325,
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<p>I am currently working on a face recognition software that uses convolution neural networks to recognize faces. Based on my readings, I've gathered that a convolutional neural network has shared weights, so as to save time during training. But, how does one adapt backpropagation so it can be used in a convolution ne... | g61377 | [
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<p>Problem statement: In responses collected from online survey, How to eliminate multiple representations from same company</p>
<p>Assuming that I intend to get one (and only one) response from each company for analysis. In the process of survey, I sent out to a large distribution and there are multiple responses fro... | g17950 | [
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<p>I have a (potentially infinite) sequence of random variables $X_i$, with $i = 1, 2, \dots$, which have the same distribution (in terms of "shape"), but different locations. </p>
<p>I have a sample of size $N$ from only one of these distributions and I would like to find a transformation to normality that works for ... | g61378 | [
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... |
<p>I'm trying to calculate the variance of the inverse gamma distribution using the method of movements. According to wikipedia the variance should be:</p>
<p>$$\sigma^2 =\frac{\beta^2}{(\alpha-1)^2(\alpha-2)}$$</p>
<p>Where $\alpha$ is the shape and $\beta$ is the scale of the inverse gamma distribution. When trying... | g47721 | [
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<p>I'm trying to determine the variance partitioning within plant drought tolerance data among hierarchical ecological levels, from species to forest sites to biome levels. I did that with the varcomp random effects model in R:</p>
<pre><code>varcomp(lme(TLP_DRY~1, random=~1|Biomes/SiteNum/Species, data=d, na.action =... | g61379 | [
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0.008... |
<p>Does there exist a positive-only distribution such that the difference of two independent samples from this distribution is normally distributed? If so, does it have a simple form?</p> | g49365 | [
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-0.001251344452612102,
-0.008359666913747787,
-0.039419107139110565,
0.030856462195515633,
-0.0179088544100523,
-0.007086542900651693,
... |
<p>I want to compare two different methods for detecting status change in a survival analysis. A group of subjects is being followed for a longer period (many years), and two examination methods have been used to examine whether a status change has occurred; one method was used to examine each subject twice a year and ... | g61380 | [
0.025384873151779175,
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0.02049565128982067,
-0.016600942239165306,
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0.06116444617509842,
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0.023630931973457336,
-0.00021826177544426173,
0.013740070164203644,
0.006998247466981411,
... |
<p>If I have two samples, with one 30-times larger than the other, which nonparametric test statistics should be considered for checking the null of equal distribution?</p>
<p>I am using Kolmogorov-Smirnov test to check that the two samples come from the same distribution. Any mistake in this? Is there any other test ... | g61381 | [
0.07364481687545776,
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-0.0015165419317781925,
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0.007644927594810724,
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0.020068088546395302,
0.0321054607629776,
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0.03153393790125847,
0.007417772896587849,
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0.... |
<p>What are good books that introduce causal analysis? I'm thinking of an introduction that both explains the principles of causal analysis and shows how different statistical methods could be used to apply these principles.</p> | g215 | [
0.12572753429412842,
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<p><strong>How can I put the arrays of a matrix in double $$ in R?</strong></p> | g37700 | [
-0.0031958387698978186,
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0.004535851068794727,
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0.048138346523046494,
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<p>In the IID case, it is known that all order statistics are positively correlated.* Thus, we know that $$\text{Cov}(X_{(i)},X_{(j)}) \geq 0.$$ Is this known in the INID (independent, non-identically distributed) case? If it is not known, how could this be proved? If it does not seem true, what would be a counter-... | g61382 | [
0.03728542849421501,
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0.001749591319821775,
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<p>Let's consider a multiple linear regression formula:</p>
<p>$ \hat{y} = \beta_0 + \beta_1 \hat{x}_1 + \beta_2 \hat{x}_2 $ (1)</p>
<p>which produces adjusted $R^2 = r_1$. </p>
<p>Now I want to add to one predictor to the (1) which turns into:</p>
<p>$ \hat{y} = \beta_0 + \beta_1 \hat{x}_1 + \beta_2 \hat{x}_2 + \b... | g61383 | [
0.011783251538872719,
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0.03546273708343506,
0.02176... |
<p>Currently, I am trying to analyze a text document dataset that has no ground truth. I was told that you can use k-fold cross validation to compare different clustering methods. However, the examples I have seen in the past uses a ground truth. Is there a way to use k-fold means on this dataset to verify my results?<... | g17955 | [
0.020329376682639122,
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0.03... |
<p>I have a question about analyzing the data from a coupled pendulum.</p>
<p>I have measured the amplitude $\psi(t)$ which is expected to be a <a href="http://en.wikipedia.org/wiki/Beat_%28acoustics%29" rel="nofollow">beat</a> and I want to measure the period. The ideal plot would be something like this.</p>
<p><img... | g61384 | [
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0.018692201003432274,
0.03509996458888054,
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0.0... |
<p>I am interested in computing the $R^2$ between a set of points $D_f = \{ (x,y)\} $ where $y = f(x)$ and a set of points $D' = \{(x',y') \}$ obtained adding noise to $D_f$.</p>
<p>I don't think I can use:
$$
R^2 = 1 - \frac{\sum_i (y'_i - y_i)^2}{\sum_i (y'_i - \bar{y'})^2}
$$
because noise can be added to the $x$ c... | g61385 | [
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0.04855554550886154,
0.03307662904262543,
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<p>I have a dataset covering daily data for 3 years (3x365 rows) for multiple attributes TotalPhoneCall (main attribute that I want to predict), Christmas day, weekend, weekday, Easter, 4th_july, etc.(some are seasonal). </p>
<p>I would like to predict TotalPhoneCall for the following month. I have to use ARIMA with r... | g61386 | [
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0.025640452280640602,
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<p>I need a book as a reference for the "principle of indifference" or "principle of insufficient reason". Any suggestion?</p> | g17958 | [
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<p>I am wondering what are the factors involved in deciding the cutoff value / cut score for 5-point likert scale from:</p>
<pre><code>1 = not ready at all,
2 = not ready,
3 = moderately ready,
4 = ready,
5 = highly ready.
</code></pre>
<p>Is it proper for the cut score (in mean value) to be as such if i want it... | g30125 | [
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<p>The rule I use for reducing covariates (trimming) is as following:</p>
<ol>
<li>Look at the highest order interaction. If that is not significant, drop it. If it is significant, stop.</li>
<li>If drop the highest order interaction (because insignificant), look at the highest order polynomial. If not significant yo... | g61387 | [
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<p>I have matrices of genetic distances for x number of individuals within a population and their corresponding point coordinates -one genetic distance matrix per point coordinates. </p>
<p>I was imagining using the <strong>Mantel test</strong>, i.e. evaluate the significance of correlations between genetic and geogra... | g61388 | [
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<p>Let's say we have the a set $(X_i,Y_i)$, $i\in I$, $I$ is an arbitray finite set of indexes, and the model</p>
<p>$$ Y = g(X\beta)$$</p>
<p>Using some method, we obtain the individual first four moments of the residuals $u_i = Y_i - g(X_i, \hat{\beta})$, so we end up with the following set</p>
<p>$$ (Y_i, X_i, u_... | g61389 | [
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0.057207267731428146,
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<p>My specific problem is to separate a huge archive of files containing source code and sometimes including embedded languages (apart from the main language).</p> | g61390 | [
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0.005250102840363979,
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<p>I have a model where I suspect (purely on theoretical grounds) that double causation might be an issue. How can I test this hypothesis?</p>
<p>I.e. I have something like</p>
<p>$Y_i = \beta_0 + \beta_1 X_i + \beta_2 W_i + u_i$.</p>
<p>And I suspect that $X_i$ may also be causing $Y_i$.</p>
<p>What I did is simpl... | g61391 | [
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<p>I'm looking at an excel sheet which claims to be calculating the $\chi^2$, but I don't recognise this way of doing it, and I was wondering if I'm missing something.</p>
<p>Here is the data it is analysing:</p>
<pre><code>+------------------+----------+----------+
| Total Population | Observed | Expected |
+-------... | g17964 | [
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0.0054135872051119804,
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0... |
<p>This is a pretty straightforward question. I am comparing outputs of two models (binomial GLM) one including environnmental-only (ENV) variables and one including environmental and spatial variables (ENV+SP).</p>
<p>I understand now why a variable could be selected in ENV and not in ENV+SP, that is because the effe... | g17965 | [
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0.00373086123727262,
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<p>I have data set that includes:</p>
<ul>
<li>multiple animals normalised heart rate</li>
<li>2 trials for each animal</li>
<li>3 time points per trial</li>
</ul>
<p>I want to analyse this data by comparing mean heart rate at each time point across trials... So, I have no between subject factor and only within subje... | g17966 | [
0.008676978759467602,
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<p>I need help to perform panel regression between share return and macro economic factors. As the share returns of different companies belong to same country, only time factor make a difference. </p>
<p>When I run the <code>plm</code> with fixed effects in R, I am unable to get a result if <code>index =("company","y... | g61392 | [
0.034423209726810455,
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0.04162665084004402,
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0.013521641492843628,
0.06395530700683594,
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<p>I'm using SPSS for building a neural network model. In the model summary there is a measure called "Relative Error". What's the formula for it? Is it related to sum of squares error?</p> | g17968 | [
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0.... |
<p>I want to use ensemble classifiers for classification of 300 samples (15 positive samples and 285 negative samples, it means binary classification). I extracted 18 features from these samples, all of them are numerical, and there is some correlation between the features. </p>
<p>I am new to MATLAB, and I tried usin... | g61393 | [
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0.03614266589283943,
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0.028719939291477203,
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0.02... |
<p>I am doing a research study on self efficacy and birth month (when children enter school, if they are oldest in class or youngest).<br>
I have each of the participants scores on their self efficacy scale (rated on a 14 point likert scale) and I have ranked their birth months (starting with Sept = 1, Oct = 2, etc.).<... | g61394 | [
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0.... |
<p>I am building ruby on rails (ActiveRecord) horse racing application. One of the features that I would like to include in the application is the ability to identify meaningful "Angles". For example, given the following facts:</p>
<ol>
<li>Horse A has raced 50 times and has 30 Wins</li>
<li>Jockey B was riding Hors... | g61395 | [
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0.04277938976883888,
0.031711395829916,
0.006502608768641949,
0.12002404034137726,
0.00556... |
<p>I am doing Text classification using LibSVM in Rapid Miner. I am using TFIDF values for processing documents. I need to Increase weightage of some terms in the documents(for eg. words in BOLD and CAPITAL letters). How can I achieve that using TFIDF values? If TFIDF is not the correct way, Can anyone suggest some way... | g61396 | [
0.03539305180311203,
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0.017052339389920235,
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0.03784218057990074,
0.012056423351168633,
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0.05621090903878212,
0.0050... |
<p>I'm trying to derive that the variance of <code>phat = pq/n</code>. I'm unfortunately not getting that. Please tell me where I'm going wrong...</p>
<pre><code>phat = x/n, where x is the # of successes in your trial and n is the number of samples
var(phat) = E[phat^2]-(E[phat])^2
= E[x^2/n^2] - p^2
= 1/n^2 * E[x^2]... | g61397 | [
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0.023465534672141075,
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0.049012042582035065,
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0.009477920830249786,
0.0043898820877075195,
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0.05478537827730179,
0.0035821055062115192,
... |
<p>I have what is a very basic question about meta-analysis. If data from individual studies about the relationship of interest are presented in both bivariate and multivariate analyses, which should I use? Would it be appropriate to calculate effect sizes based on multivariate analyses (e.g., adjusted odds ratios), or... | g17969 | [
0.0010448995744809508,
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0.020151738077402115,
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0.046984925866127014,
0.01669767126441002,
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0... |
<p>I have a vector of weights for each instance which signifies the cost of each misclassification. How can I incorporate this while training a random forest?</p> | g17971 | [
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0.009020463563501835,
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0.018822768703103065,
0.02482260949909687,
0.0... |
<p>So I am trying to further understand Lift and Gain charts as it applies to my employee turnover model (i.e. used CHAID in SPSS Modeler). For my data this means predicting number of people voluntarily leaving the company. </p>
<p>I have reviewed the below references and have the basics down regarding interpretation... | g61398 | [
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0.044691577553749084,
0.05762414634227753,
... |
<p>I'm trying to solve an exercise (not homework, and it does not come with solutions) that asks to provide an algorithm to simulate a probability $P(Y<y)$ and the expected value $E[Y]$ of a random variable $Y$. Also the algorithm must have a fixed number $N>0$ of steps (number of pseudo-random $\rm Uniform(0,1)$... | g61399 | [
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0.020275358110666275,
0.016706975176930428,
-0.009406963363289833,
0.020176848396658897,
-0.0707722082734108,
0.043541718274354935,
0.0035600150004029274,
... |
<p>In linear regression, the transfrmations of explanatory variables is done to have maximum correlation with the dependent variable.</p>
<p>What is the best measure of choosing between multiple transformations in logistic regression as dependent variable is binary and not continuous?</p>
<p>The end goal is to maximi... | g61400 | [
-0.005289890803396702,
-0.004891181830316782,
0.002284054411575198,
-0.04995327815413475,
0.0014497475931420922,
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-0.006484496872872114,
0.008773400448262691,
-0.017775433138012886,
0.00928879901766777,
... |
<p>In Collaborative filtering, we have values that are not filled in. Suppose a user did not watch a movie then we have to put an 'na' in there.</p>
<p>If I am going to take an SVD of this matrix, then I have to put some number in there - say 0. Now if I factorize the matrix, I have a method to find similar users (by ... | g61401 | [
0.06278414279222488,
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0.03614549711346626,
0.025... |
<p>I have a sample including all students within 52 schools which have been randomly assigned to be treatment or control (we have group randomized trial in which all students in each school is either assigned to treatment or to control ). I'd like to know whether there is any school clustering effect in this data. In o... | g47758 | [
-0.02840275876224041,
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0.007233040872961283,
-0.02604031190276146,
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0.06673761457204819,
0.002759290626272559,
0.025981862097978592,
-0.0... |
<p>I have a question about the confidence interval of the estimator in a multiple linear regression. Here below you can find my model:</p>
<pre><code>lm(formula = GDP.per.head ~ PISA.math + Quality, data = Dataset)
Residuals:
Min 1Q Median 3Q Max
-23954 -5958 -2253 1754 36712
Coefficients:
... | g61402 | [
0.006186533719301224,
-0.021072009578347206,
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0.013535778969526291,
-0.023512154817581177,
0.020968331024050713,
0.01995210163295269,
0.008741327561438084,
-0.07542812079191208,
-0.01744394749403,
-0.05064387246966362,
0.038264669477939606,
0.03498169034719467,
-0.03... |
<p>I understand that scalar invariance, in the context of Structural Equations Modeling (SEM), is having the intercepts for observed variables loading on the same latent variable be invariant across multiple groups. However - what does scalar invariance mean substantially? What are its implications?</p> | g17974 | [
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0.01856919936835766,
0.022992655634880066,
0.06891655921936035,
0.08080735802650452,
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0.023437950760126114,
-0.009613274596631527,
-0.014444367960095406,
-0.00537378154695034,
-... |
<p>Let's say I have the following lagged data frame and am trying to predict income for 9/10 using data from 9/09.</p>
<pre><code>dat = data.frame(main_date=c("09/01/2013","09/02/2013","09/03/2013","09/04/2013","09/05/2013","09/06/2013",
"09/07/2013","09/08/2013","09/09/2013","09/10/2013")... | g61403 | [
0.05500476434826851,
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0.06499680131673813,
0.03842439129948616,
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0.007906757295131683,
0.015112336724996567,
0.0719270259141922,
-0.0128... |
<p>Suppose I have a dataset where each individual is measured at three timepoints on a variable (we'll call it disease status). What I want to do is estimate the relationship between time and disease. Obviously a mixed model is appropriate, where each person's individual regression line is modeled then aggregated. Howe... | g61404 | [
0.009809853509068489,
-0.05217316374182701,
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0.012897025793790817,
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0.023091617971658707,
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0.030713919550180435,
-0.0009877043776214123,
-0.004020872060209513,
0.01431211456656456,... |
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