question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I have data from a split-plot (or repeated measure) experiment with three factors: A is random, B is fixed and nested within A, and C is fixed and nested within B. I can test for the effect of B, C and their interaction with the following code:</p>
<pre><code>aov(x~B*C+Error(A/B/C))
</code></pre>
<p>I'd like to re... | g64812 | [
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<p>I have a couple of questions about contrasts but would also appreciate any suggestions for relevant literature.</p>
<p>I am carrying out a GLM (binomial). There are 3 Factors (A,B,C) - A has 3 levels, B & C have 2. As main effects all factors are significant, and for factor A I can test the significance betwee... | g64813 | [
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<p>When we do multiple regressions and say we are looking at the average change in the $y$ variable for a change in an $x$ variable, holding all other variables constant, what values are we holding the other variables constant at? Their mean? Zero? Any value?</p>
<p>I'm inclined to think it's at any value; just lookin... | g64814 | [
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<p>A well-known result is that the only density that is both spherical and independent error is normal: more precisely</p>
<p>Let $e_i$ be errors,</p>
<p>If the joint probability density satisfies
$$f_n(e_1,e_2, ..., e_n) = f_1(e_1)f_1(e_2)...f_1(e_n)$$
(independence) and if it is spherical:
$$f_n(e_1,e_2, ..., e_... | g23132 | [
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<p>Which may be good techniques to face this abstract problem?</p>
<p>You have a data stream of a continuous signal, as one from a physical sensor. That signal has real (discretized) values, no attribute; addictional features (e.g., power, auto-correlation, entropy) might be extracted. You can assign one label from a ... | g64815 | [
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<p>I have proportion data where I am interested in the proportion of successes, but also in the number of successes. Is there some statistic I can calculate to summarize this info into one number? </p>
<p>Sample data:</p>
<pre><code>X N P
2 4 .5
40 200 .2
3 10 .3
50 100 .5
</code></pre>
<p>Here the fi... | g24098 | [
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<p>I want to actually get the confidence interval of gaussian distribution. I want to know how I can use the covariance matrix and check if the obtained mui vector for the multivariate gaussian distribution actually satisfied the confidence interval. I have a mui vector and the actual values to be obtained. How can I u... | g64816 | [
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<p>I am trying to calculate interrater reliability in SPSS for both pre and post test of the same measure that is administered as part of a prison intake program. The measure has 20 items and then a total score. I am just running on total score agreement. </p>
<p>I ran crosstabs and calculated kappa for the pretest a... | g23137 | [
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<p>Wikipedia says that almost all Measurment error models can be formulated as follows:</p>
<blockquote>
<p>Usually measurement error models are described using the latent variable model latent variables approach. If ''y'' is the response variable and ''x'' are observed values of the regressors, then we assume ther... | g10696 | [
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<p>I'm trying to model the typical performance of an experimental approach I've developed. I have a total of 3000 observations for 72 different case studies. My observations consist of a reading for <code>size_x</code> and <code>size_y</code>, and the performance <code>n</code> for each point. <code>size_x</code> and <... | g64817 | [
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<p>I need to detect Out Of Shelf situations in reatil stores. What I had in mind is to assume that purchase frequency of some article (SKU) has certain ditribution (I tried with Poisson) and then calculate probability (according to that distribution) of that specific article was not bought since last purchase, and if t... | g64818 | [
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<p>I'm curious how an online dating systems might use survey data to determine matches.</p>
<p>Suppose they have outcome data from past matches (e.g., 1 = happily married, 0 = no 2nd date). </p>
<p>Next, let's suppose they had 2 preference questions, </p>
<ul>
<li>"How much do you enjoy outdoor activities? (1=strong... | g44284 | [
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<p>Consider the mean estimator </p>
<p>$$\hat{\mu}(\lambda) = \lambda \frac{1}{n}\sum_{i = 1}^nY_i $$</p>
<p>(for $n$ iid Gaussian variates $Y_i$). After calculating the bias and the variance of this estimator, I found the optimal value which minimizes the prediction error</p>
<p>$$ \text{Err}_\lambda = E(\mu - \h... | g64819 | [
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<p>I measured 2 sediment parameters in multiple lakes. The organic matter content at the sediment/water interface <code>surfOM</code> and the mean organic matter content of the whole core <code>meanOM</code>.</p>
<pre><code>surfOM <- c(34.4600, 42.1700, 48.6700, 18.4711, 19.5300, 18.4238, 20.5601, 28.2800, 19.1739... | g64820 | [
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<p>What is the R code to estimate the parameter lambda of the Poisson distribution?</p>
<p>I tried</p>
<pre><code># of occurrence 0 1 2 3 4 5 6 7
occ <- 0:7
# of sequence 150, 200, 220, 230, 240, 250, 180, 260
freq <- c(150,200,220,230,240,250,180,260)
mean_per_seq <- occ %*% freq
</code></pre>
<p>Is thi... | g42898 | [
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<p>So you've decided to support the idea of reproducible research and want to make your data available online for people to see and use. The question is, where do you host it?</p>
<p>My first inclination is of course the private webspace I have on a university server, but these things aren't actually all that persiste... | g433 | [
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<p>I have gotten some advice from a PhD statistician on doing predictive modeling on large datasets (lots of variables AND lots of observations) that I should perform transformations to eliminate skewness in my numeric variables. I should first try various power transformations, then when that doesn't work, try rank t... | g23149 | [
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<p>I know a regression of y on x (dummy variable) and a constant term can be represented in the following form:
<img src="http://i.stack.imgur.com/0UXa6.png" alt="enter image description here"></p>
<p>On the other hand OLS estimator can be presented in the following form:</p>
<p><img src="http://i.stack.imgur.com/OuL... | g28513 | [
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<p>I'd like to calculate effect sizes using data from a published study. The aggregate sample size is provided but not the sample size for each of the three experimental conditions. </p>
<ul>
<li>Is there a way to determine the sample size for each condition if provided the mean and standard error for each outcome a... | g64821 | [
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<p>I have a matrix containing distances between species' habiat choices (extracted from a NMDS ordination plot). I used a Mantel test to test for correlation of habitat distance with continuous trait distances, but I also have to two other pairwise distance measures of which one is categorial (2 levels) and one discret... | g33766 | [
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<p>I have a big data set with unlabelled observations (several million) and about 20 thousand properly labelled ones. There are only two classes and all correctly labelled samples belong to the same class. I want to see if I can expand my data set using the following technique:</p>
<p>First I construct my classifier u... | g64822 | [
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<p>I recently read the following statistical 'sin' <a href="http://stats.stackexchange.com/questions/4551/what-are-common-statistical-sins">here</a>:</p>
<p><em>Something I see a surprising amount in conference papers and even journals is making multiple comparisons (e.g. of bivariate correlations) and then reporting ... | g23154 | [
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<p>I have two datasets and want to know what analyses to perform and how to implement them (GraphPad Prism is preferable, but SPSS could also help).</p>
<ul>
<li><p><strong>Case 1:</strong> I have 3 treatment groups and 5 time-points. At every time-point I have a score from 1 to 10 from the same animal. I want to chec... | g64823 | [
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<p>I have run a linear discriminant analysis for the simple 2 categorical group case using the MASS package lda() function in R. With priors fixed at 0.5 and unequal n for the response variable of each group, the output basically provides the group means and the LD1 (first linear discriminant coefficient) value. There ... | g23155 | [
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<p>For linear regression, is an estimator of the variance of the dependent variable for a fixed x-value $SSE/(n-2)$? </p> | g64824 | [
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<p>Is "margin of error" the same as "standard error"?</p>
<p>A (simple) example to illustrate the difference would be great!</p> | g23156 | [
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<p>In my questionnaire, I had a "no-opinion" option for several items on a 5-point-likert scale. I know, there is a lot of discussion about sense and non sense of those, but the fact is, i've got a data set with a lot of these values.</p>
<p>So the big question: How to analyse them!? Obviously it's important to displa... | g850 | [
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<p>Are there any implemented methods in R that could be used to assess publication bias in a meta-analysis of diagnostic accuracy (Egger's test, funnel plots)?
One way would be to change sensitivites and specifities to log diagnostic odds ratios (logDOR), run meta-analysis on the logDOR using common rfx-models and then... | g64825 | [
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<p>Say there is a count table of observations</p>
<pre><code> Exon 1 Exon 2
Normal 1000 70
Disease 400 10
</code></pre>
<p>This gives a significant p-value if a Fisher test is used. But Exon 2 counts are quite low. Is there any way of moderating statistics like this to give insignificant... | g23160 | [
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<p>I have 3000 predictors (biological measurements) and 200 samples (weight), and would like to build a linear multiple regression model. How do I select which predictors to include in the regression model?
Someone suggested using R package 'rpart'.
Please help.</p> | g23163 | [
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<p>During my masters studies, I heard about the following estimate of the mean: We take the minimal and the maximal value from sample and simply average them out. </p>
<p>Does this estimate have any name? And when is it useful? I have never seen it in practice.</p> | g23164 | [
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0.... |
<p>I have train and test data set to work on. I would like to apply PCA to reduce dimension. </p>
<p>I am not sure, do I need to merge train and test data set together before applying PCA? Or I should apply PCA on train data set, select reduced dimension, and work on reduced data set for both train and test data set. ... | g64826 | [
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<p>I am looking for a suitable analysis to examine my data for the presence of foraging individuals at different time periods, and whether the individual are in the same place over time. My dataset is made up of longitudinal data with multiple individuals (173 geese), which were sampled weekly over a period of 15 year.... | g64827 | [
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<p>Model is essentially a seemingly unrelated regression estimation of the two following equations: </p>
<p>$lnIMR_i=\alpha_i^{IMR}+I_i\beta_i^{IMR}+C_i\theta_i^{IMR}+A_i\lambda_i^{IMR}+M_i\delta_i^{IMR}+Q_i\pi^{IMR}+u_i^{IMR}$</p>
<p>$lnU5MR_i=\alpha_i^{U5MR}+I_i\beta_i^{U5MR}+C_i\theta_i^{U5MR}+A_i\lambda_i^{U5MR}+... | g64828 | [
-0.019367888569831848,
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<p>It <a href="http://stats.stackexchange.com/questions/113439/is-residuals-autocorrelation-always-a-problem">seems</a> that OLS residuals autocorrelation is not always an issue, depending on the problem at hand. But why residuals autocorrelation would <a href="http://en.wikipedia.org/wiki/Autocorrelation#Regression_an... | g64829 | [
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-0.0... |
<p>I have an OLS regression with around 1000 observations and created a dummy variable for at least 15 different categories (catholic, muslim, hindu etc). One of the created dummy variables (spiritual) indicates 1 for only a few observations (3). My question is, is it better to leave it in the regression or to merge wi... | g64830 | [
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<p>Suppose that we have data on 1000 people. Each of these people are either from California, Texas, or Hawaii. We have various lifestyle variables on each person (e.g. age, gender, etc.). We are interested in comparing the income of people in California versus the income of people in Texas using linear regression. Is ... | g64831 | [
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<p>In confirmatory analysis do you basically just test hypotheses? Then in exploratory analysis you try to generate hypotheses? In general, I know that you can first do exploratory analysis to form hypotheses and then confirmatory analysis to test them. But can you first do confirmatory analysis and then do exploratory... | g64832 | [
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<p>I am learning Predictive modeling and building a Forecasting model to predict Insurance sales in US as a part of my academic project. I want to do Time Series forecasting.</p>
<p>I have Y(t) as my response variable and x(t),X(t-1),.....X(0) as my exploratory input varaibles that are correlated to the the response p... | g23169 | [
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<p>I was running through question section on my stat book and the following question was posed:</p>
<blockquote>
<p>If our sample value is close to the null/population value, we conclude that ...</p>
</blockquote>
<p>I don't get if that is suppose to reject/accept or if there is an effect. Furthermore, can anyone e... | g23171 | [
0.025359055027365685,
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<p>I've some data that is divided into a series of groups and am testing whether the mean is different from 1. The data is highly skewed, with skewness ranging from 1.10 to 26!</p>
<p>I did a one-sample t-test to see were the means different from one, in spite of the skewness. I also did a one-sample median test (Wilc... | g64833 | [
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<p>I would like to get help from an expert or anyone who knows about this. As a beginner in SPSS, I've googled the steps to do multinomial regression. I've decide to use multinomial because from what I googled and understood, binomial is for situations that only have 2 categories like yes or no, which you could code ... | g23179 | [
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<p>dependent variable: one of three forms of a word-ending
independent variables: age, language, word stem with 3 levels
random effects: speaker, sentence
Each speaker produces many sentences, so it repeated measures is required. </p> | g64834 | [
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<p>It always create a doubt to me, whether we can apply linear or non linear multiple regression on time series data. If yes, should I consider year also an independent variable.</p>
<p>Thanks,<br>
Arushi</p> | g64835 | [
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<p>I'm not really "into" statistics, so I could use a hand on this one. I have two small groups, one has 12 students and the another one has 6.</p>
<p>Both groups answered a questionnaire and I'm trying to find out which of the groups did better. I'm not sure if I should be using the average of correct answers to do t... | g64836 | [
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<p>I have generated a number of objects in 3D space (2D rectangles). I have sampled those objects along lines, calculating the number of intersections between the lines and objects.</p>
<p>If I use increasing amounts of lines, the standard error in the number of intersections decreases, as expected.</p>
<p>What I rea... | g64837 | [
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<p>I have been reading some papers regarding statistics and I seem to be confusing the terms priors and likelihood.</p>
<p>Would it be possible to explain the difference between the two terms? I am interested in both a "down-to-earth" approach with examples and the mathematical and statistical aspects.</p>
<p>Thanks... | g23181 | [
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<p>Say I have a vector of length 1000. At each position (1 ... 1000) there is a count. I have two vectors with different range of counts such that in vector A the maximum number of counts at a position is 30, whereas in vector B the maximum is say 200 (i.e., there are more counts in B than A). </p>
<p>So essentially I... | g64838 | [
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<p>Is there any way of selecting the best possible threshold to minimize the number of false positives and false negatives (to get the best possible minimized combination of false +ves and -ves)?</p> | g23016 | [
0.013081897981464863,
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<p>Body mass index was compared for two groups, people with elevated triglycerides (above 1.7 mmol/L) and people with normal triglyceride levels. The 10 people in the group with elevated triglyceride had body mass index mean = 26.1 and standard deviation = 3.72 and the 15 people in the normal group had body mass index ... | g64839 | [
0.05704174190759659,
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<p>Is a bootstrap or jack-knife method better for crossvalidation of a multivariate logistic regression based predictive model?</p> | g64840 | [
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0.0387... |
<p>I have an example from a book I am working through (car starting problem, with fuel & dirty spark plugs), but need a little help please.</p>
<p>We have probabilities: P(NS) = 0.016, P(NF) = 0.001, P(F) = 0.999, P(SPD) = 0.05 and P(SPC) = 0.95.</p>
<p>Where S = car starts, NS = car doesn't start, F = there is ... | g64841 | [
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... |
<p>I wish to discover the best distribution to model <strong>non-zero</strong> restitution* values of insurance as a response variable in a regression.</p>
<p>The problems I find here:</p>
<ul>
<li>Knowing that the data came from insurance restitution doesn't seem
bring me any information about its distribution.</li>... | g64842 | [
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0.025349395349621773,
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-... |
<p>This is a supervised learning problem. Ideally would like to work in R due to having an easy way to pre-process the input data, but could work around that as well.</p>
<p>For each sample, input consists of tens of thousands of features. These are genomics data and will likely need to be reduced to a manageable amou... | g64843 | [
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0.018708640709519386,
0.014976492151618004,
0.01... |
<p>I have a large text and I need to select words randomly in proportion to their frequencies. </p>
<p>A raw method is to put all the words in an array (N indexes) and to use a random (uniform) generator to generate numbers between 0 to N. </p>
<p>For example, a word $w_1$ occurs 5000 times in the text and the word $... | g64844 | [
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0.044... |
<p>I have a data set of ~260 persons who answered 15 relevant items and were then passed on to get a specific treatment or not... I am trying to predict, whether they will recieve treatment or not.</p>
<p>I use SPSS with all available add-ons.</p>
<p>As far as I understand, I have to go for a Probit because the depen... | g64845 | [
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0.03636685758829117,
-0.03286225348711014,
0.027464736253023148,
... |
<p>I am dealing with a one-way random effects model and am looking for the $E(\ln(\hat{\sigma}_\alpha^2/\hat{\sigma}^2))$ where $\hat{\sigma}_\alpha^2$ is the estimate of the between group variance and $\hat{\sigma}^2$ is the estimate of the error variance. </p>
<p>I am basically just interested in what a good estima... | g64846 | [
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0.0... |
<p>There are two forms for the Gamma distribution, each with different definitions for the shape and scale parameters. Rather than asking what the form is used for the <a href="http://www.gnu.org/software/gsl/manual/html_node/The-Gamma-Distribution.html" rel="nofollow">gsl_ran_gamma</a> implementation, it's probably ea... | g64847 | [
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... |
<p>I am trying to estimate number of different unique visitors who visited a given website (online store). There are hundreds of millions of visits to the store and so this task is too difficult to handle by my database. Note that one visitor may have more than one visit so it is not enough to count number of all recor... | g23186 | [
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0.00811010506004095,
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-0.0... |
<p>I have 10 years of backtested simulated performance of some trading strategy (using historical prices), and N months of actual trading performance. I want to compare the two. How big does N have to be to get a statistically significant comparison? I'm comparing returns and Sharpe ratios.</p> | g23188 | [
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0.010533916763961315,
0.017902947962284088,
0.019706664606928825,
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... |
<p>I'm using latin hypercube sampling to draw parameter values for an epidemiological simulation model (about 30 parameters, following various distributions), and so far I haven't been able to find any good rule of thumb/heuristics/theory for choosing the number of samples (i.e. the number of equiprobable intervals).</... | g64848 | [
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0.012966018170118332,
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-0.021305739879608154,
0.046728119254112244,
0.0... |
<p>When I want to compare the means between two groups I use a t-test.
But how do I check whether the means of three groups are equal or statistically different?</p>
<p>E.g. compare the average labour productivity of small, medium and large firms.</p> | g42932 | [
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0.015584137290716171... |
<p>How can I conduct an Egger's test using SPSS17? For each study included in the meta-analysis I know effect size and sample size of patients and controls groups.</p> | g23189 | [
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<p>$\quad$ I have a friend of mine who is a bit of a gambler ask me this question. He is of poor mathematical background, but has a sense of logic and will probably accept a logical answer in the natural language.</p>
<p>$\quad$ So my friend asked me if the probability of an outcome would change in consecutive trials ... | g64849 | [
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<p>I have network traffic data in the following for for each hour of a ten day period as follows in a R dataset. </p>
<pre><code> Day Hour Volume Category
0 00 100 P2P
0 00 50 email
0 00 200 gaming
0 00 ... | g64850 | [
-0.00663640396669507,
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0.013123646378517151,
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0.03793716058135033,
0.0... |
<p>I am using the <code>evolfft</code> function in the <code>RSEIS</code> R package to do a STFT analysis of a signal.</p>
<p>The signal is one hour long and it was acquired during 3 different conditions, in particular 0-20' control, 20'-40' stimulus, 40'-60' after stimulus.</p>
<p>Visually, I see a change in the spe... | g64851 | [
0.00956993829458952,
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0.009360943920910358,
0.03351510688662529,
0.02410774864256382,
0.040090084075927734,
0.0461... |
<p>I am trying to fit a negative binomial distribution, in <code>R</code>, to my over dispersed data (out of 20 ,14 samples are 0, and rest are less than 5). The mean is $-0.8$ and the variance is $2.69$.</p>
<p>The problem is if I use the <code>theta.md</code> function, I get theta around $0.5$, and if I use <code>gl... | g64852 | [
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... |
<p><strong>Design and hypothesis</strong>: we measured <code>wellbeing</code> at Time-1 and Time-2, we want to see whether factor <code>A</code> (measured at Time-1 and supposed to be a stable factor over time) is a significant predictor of factor <code>B</code> (measured at Time-2). We also expect <code>wellbeing</co... | g64853 | [
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<p>I created a time series in Excel (not ideal) using Holts-Winters to forecast daily loan values in a month and it works very well.</p>
<p>I've been asked to build a similar model that integrates other variables but other than a multiple regression model (which has it's own issues) I'm not sure with my limited experi... | g64854 | [
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0.003717245766893029,
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0.022152673453092575,
... |
<p>I have tried to model a time series (<a href="https://dl.dropboxusercontent.com/u/13029929/ts.txt" rel="nofollow">https://dl.dropboxusercontent.com/u/13029929/ts.txt</a>) with various approaches, but haven't been satisfied.
The original time series and its ACF and PACF look like</p>
<p><img src="http://i.stack.img... | g64855 | [
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0.010339291766285896,
0.013717297464609146,
0.057434506714344025,
0.05962858349084854,
-0... |
<p>What should I do if the expected value in a Chi-square goodness-of-fit test is zero?
I know there's Fisher's test but I have a very large table!</p> | g49632 | [
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<p>I am using the function <code>betadisper {vegan}</code> to test for differences in, in my case, raw genetic dispersion between sites within species. I would like to derive a <em>single measure of dispersal</em> for each species, thus pooling over sites (factor levels). This <em>dispersion measure</em> would be the <... | g64856 | [
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0.050444502383470535,
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<p>To fit a lasso model using <code>glmnet</code>, you can simply do the following and <code>glmnet</code> will automatically calculate a reasonable range of <code>lambda</code> values appropriate for the data set:</p>
<pre><code>glmnet(x, y, alpha = 1)
</code></pre>
<p>I know I can also do cross validation natively ... | g64857 | [
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<p>Consider a situation where people are asked to rate a product on a scale of 1 to 5.</p>
<p>Product A has a rating of 3.95 based on 15,000 ratings. Product B has a rating of 4.2 based on 1000 ratings.</p>
<p>From the data given, can we determine which product is the preferred one? Is there a direct formula to solve... | g42943 | [
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<p>is forecasting accuracy and trading profitability related? </p>
<p>How to explain the existence of the relationship? </p>
<p>Thank you. </p> | g23200 | [
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<p>... and why ?</p>
<p>Assuming $X_1$,$X_2$ are independent random-variables with mean $\mu_1,\mu_2$ and variance $\sigma^2_1,\sigma^2_2$ respectively. My basic statistics book tells me that the distribution of the $X_1-X_2$ has the following properties: </p>
<ul>
<li>$E(X_1-X_2)=\mu_1-\mu_2$</li>
<li>$Var(X_1-X_2)=... | g64858 | [
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<p>I have this long running experiment. Each time I run it I get a new goodness value, since the algorithm has random variables in it. So I need to report the mean and the std of some n runs. What should n be?</p>
<p>I need to be able to defend n based on some statistical ideas. Some kind of scientific reference (a bo... | g64859 | [
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<p>Hey everyone, thanks for taking the time to look at this question. This is pretty simple, and I understand statistics quite well, but I think I'm not wrapping my head around the words, it seems to me as if there's something missing. Here's the question.</p>
<blockquote>
<p>The manager of the aerospace division
... | g23019 | [
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<p>I have annual returns and standard deviations for two funds, $r_{a}$, $r_{b}$, $\mathrm{SD}_{a}$ and $\mathrm{SD}_{b}$ but I do not have individual data, just the annual data. The annual correlation between the prices of the funds is 0.7. If I had the individual data I could use</p>
<p>$\mathrm{Cov}(A,B) =\sum_i (\... | g287 | [
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<p>I am trying to devise a simple algorithm to create a Bayesian prior from measurements obtained from time series data. Firstly, I presuppose that the data can take on one of five possible "shapes" or "patterns" and then measure the Euclidean distance of each time series data point from its equivalent point in time in... | g64860 | [
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<p>My current dataset has three conditions, and we've measured the activity levels of 10,000 genes in each condition. Replicated 8 times.</p>
<p>Using 10,000 linear models, we determine for each pair of conditions (ie for each of three contrasts) the number of genes with significantly different activity levels. This i... | g64861 | [
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<p>I am doing some histogram rowstacked plots using the gnuplot command</p>
<pre><code>plot 'file.dat' using (100.*$2/$6) title column(2), for [i=3:5] '' using (100.*column(i)/column(6)) title column(i)
</code></pre>
<p>I want to change all the colors used for fill the bars in the histogram. For change the first box ... | g23020 | [
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<p>This is more of a general statistics question, though if it matters I'm writing PHP code.</p>
<p>Let's say I'm trying to compute the average value of a toy that is commonly bought and sold on the secondary market, and I have a set of price values culled both from auctions and from user-entered "price paid" data. Th... | g42953 | [
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<p>I'm running regression using GPML with a covariance function being a sum of a Gaussian noise and a Squared Exponent (SE). Input is in R4 and both the input and the output are normalized.</p>
<p>I run optimization of hyper-parameters by minimizing the negative log marginal likelihood.</p>
<p>covSEiso is k(x_i,x_j)=... | g16754 | [
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0.012798216193914413,
0.006625116802752018,
0.02... |
<p>I'm a bit troubled about how to report linear regression statistics after log transformation of the dependent variable.</p>
<p>I suppose I should report the transformed coefficient, but would they be easily interpreted?</p>
<p>In the regression plot should I use the transformed values or the original ones? while t... | g64862 | [
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... |
<p><img src="http://i.stack.imgur.com/xl4OI.png" alt="enter image description here"></p>
<p>Hello,</p>
<p>I want to ask what transfer function I should use to model a gradual permanent step intervention with increasing rate of growth. The relevant graph is presented at the attached image.</p>
<p>I want to model a st... | g42958 | [
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0.05921865254640579,
0.023122776299715042,
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<p>Consider the following theorem:</p>
<blockquote>
<p><strong>Theorem.</strong> For any sequence of autocovariances $\{ \lambda_k \}$ generated by a stationary process, there exists a function $F$ such that $$\lambda_k = \int_{(-\pi, \pi]} e^{ik \lambda} dF(\lambda)$$ where $F$ is the unique function on $[-\pi, \pi... | g16756 | [
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0.06249619647860527,
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<p>I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275.</p>
<p>Unfortunately I did not succed to find any R example, and I h... | g23208 | [
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<p>Almost everything I read about linear regression and GLM boils down to this: $y = f(x,\beta)$ where $f(x,\beta)$ is a non-increasing or non-decreasing function of $x$ and $\beta$ is the parameter you estimate and test hypotheses about. There are dozens of link functions and transformations of $y$ and $x$ to make $y$... | g64863 | [
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0.01849338784813881,
0.05074124410748482,
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<p>I am looking at whether abundance is related to size. Size is (of course) continuous, however, abundance is recorded on a scale such that </p>
<pre><code>A = 0-10
B = 11-25
C = 26-50
D = 51-100
E = 101-250
F = 251-500
G = 501-1000
H = 1001-2500
I = 2501-5000
J = 5001-10,000
etc...
</code></pre>
<p>A through Q... ... | g42960 | [
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0.015304476022720337,
0.0024935733526945114,
0.0793001651763916,
0... |
<p>I am building a ML ordered logistic regression. First of all, I really don't know if this is the best way to fit a model to my data, as I am not too confident in ML ordered logit regressions, compared to ML linear regressions. The relevant variables are as follows:</p>
<p>$Y_{ij}$ = support for the European Union, ... | g64864 | [
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0.003355420427396893... |
<p>I have survey data from 650 respondents. Each participant rated 11 items on the same scale.</p>
<p>I would like to know, at the population level, how the average of each of these items compare.</p>
<p>For example, I would like to know that item 1 had an average of 2.4, item 2 had an average of 3.2, item 3 an avera... | g64865 | [
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0.04516409710049629,
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0.024313833564519882,
... |
<p>I am trying to visualise some consumer data, which has 4 categories. Users are free to switch between different categories. I would like to visualise the last three or four switches for each individual.</p>
<p>So we would start with a plot with a column with 4 stacked proportions. After that we would have 16 as eac... | g42963 | [
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<p>In <a href="https://en.wikipedia.org/wiki/Testing_hypotheses_suggested_by_the_data" rel="nofollow">Wikipedia</a></p>
<blockquote>
<p>hypotheses suggested by the data, if tested using the data set that
suggested them, are likely to be accepted even when they are not true.
This is because circular reasoning wou... | g64866 | [
0.052763089537620544,
-0.016324158757925034,
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0.... |
<p>I have 3 features which I want to use in my classifier. They are all time-series data-based. However, they are all at different frequencies and there have different matrix dimensions. I was wondering if someone could give me some pointers on how to combine these three features?</p>
<p>Appreciate your help.</p> | g64867 | [
0.018049556761980057,
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0.006... |
<p>I have never read or seen someone do this before, so I wanted to pose the question here. Suppose I fit a basic linear model, $\text{price of house} = \beta_0 + \beta_1*\text{taxes} + \beta_2*\text{bedrooms} + \beta_3*\text{number of garage doors}$. </p>
<p>I fit this using OLS and I get a model that has combined $R... | g64868 | [
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0.0... |
<p>Say I have a model such that the dependent variable is the change in the log of $y$, $\Delta ln(y)$ and the independent variable is the change in $x$, $\Delta x$.</p>
<p>Let's say the coefficient is equal to -1, $y$ is the population of a state and $x$ is the crime rate (the number of crimes per person).</p>
<p>Ca... | g49358 | [
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<p>I am trying to calculate the hurst exponent using the Rescaled range Analysis. I'm using the rsFit function of the fArma package.</p>
<p>To test it I create a bronwian motion "r" and the hurst should be .5 but it is close to 1.</p>
<p>Here is the R code:</p>
<pre><code>library(fArma)
set.seed(100)
r<- cumsum... | g64869 | [
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0.0357... |
<p>From what I have read Hamiltonian Monte Carlo is the "goto" <code>MCMC</code> method when your problem is high dimensional.</p>
<p>Practically speaking, how many dimensions 10's, 100's, 1,000's, 10,000's, 100,000's, ..., is too many? Computational cost will no doubt become an issue and I suppose the model being us... | g23213 | [
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<p>There is a paper “Auto White Balance Based on the Similarity of Chromaticity Histograms” mention about automatic white balance. One of the key point of this algorithm is how to measure the similarity between three histograms (r, g, b channels). They choose Bhattacharrya distance to measure it.</p>
<p>Equation of Bh... | g64870 | [
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0.00693388981744647,
0.04448661580681801,
0.020157815888524055,
0.033... |
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