# All Questions

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### Mutual information for two soft clustering results?

I understand that mutual information (MI) of two distributions $X$ and $Y$ is defined as In the case of clustering analysis, say we are looking for two clusters out of 3 data points. We have two ...
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### Scatterplot with edgeR DESeq Voom

I am new in RNAseq and I started using edgeR, DESeq and Voom from Limma package to do differential analysis. I have a data frame of 30 couples of Normal and Tumoral tissues Since each method is ...
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### Extension of Median to big data integer distributions?

I am analysing big samples of integer values. Because they come from a non-symmetrical distribution, I prefer to use the median to characterise central tendency, not the mean. However, due to the ...
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### Forecasting a ARIMA(1,1,1) model

ARIMA(1,1,1) process with constant term $\mu$ is $X_t=\alpha X_{t-1}+\mu+Z_t+\beta Z_{t-1}$ where $Z_t$ is white noise with mean zero variance $\sigma ^2$. Find one step and two step ahead forecast ...
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### Is there a known bias with telephone polls in the U.S.?

I was looking at a WashingtonTimes/ABC poll, and the results breakdown, especially by age, seemed surprising to me. So I went looking for bias. It said: "poll was conducted by telephone Dec. 11-14, ...
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### Dimensionality reduction when number of samples is much larger than number of features

I was wondering what happens when the number of samples is much larger (e.g. $\times 200\:000$ times more) than the number of features? Is there any recommended way of reducing the samples' ...
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### Diferrencing vs Moving Average

Moving Average and differencing a series can both be used to remove seasonality. Does the difference of these two lie in the model they are used? Moving Average used in classical decomposition and ...
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### What is the problem with post-hoc testing?

My statistic professor says so, all the books that I look at state it: post-hoc-testing is unscientific. You must derive a hypothesis from theory first, and then collect data and analyse it. But I ...
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### Why doesn't measurement error in the dependent variable bias the results?

When there is measurement error in the independent variable I have understood that the results will be biased against 0. When the dependent variable is measured with error they say it just affects the ...
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### Definition of exponential family

I was reading these lecture notes and came accross the definition of GLM using exponential family of distribution. The latter seemed to have a bit of ambiguity, so I've checked that's it indeed the ...
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### How to combine Gaussians in a two-dimensional data

I have two-dimensional data which can be summarized by a sample matrix M'(X,Y) , where each data point M'(x,y) consists of a set of numbers which I assume is generated by an underlying Gaussian ...
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### Understand mixed models SPSS

On a mixed model on SPSS I got the following results: in the table called "Type III Tests of Fixed Effectsa" ...
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### I have to know about the tslm function in r [on hold]

I need the full details of tslm function in r beacause I have to know this.Can you please give the explanation about the tslm when we use?,why we use?,how it works?
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### Correlation between two Likert items with a non-monotonic relationship

One of the assumptions for Spearman correlation is that there is a monotonic relationship between the two variables. I've created a scatterplot for two Likert item variables, but it seems impossible ...
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### Determining demographics by restaurant visits

Assume Person X likes to visit different restaurants at different times. We would like to determine the current estimate of their demographic distribution based on all prior information we know from ...
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### In R, generating every possible solution to a model, based on constraints [on hold]

In R, I’m trying to generate a matrix that shows results from a model and the values used to solve them- all of which are constrained. Every possible solution. An example model: Model= ...
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### Resources for learning R with Statistics [duplicate]

Already read: Resources for learning R I would prefer to have a textbook which covers statistics with R, accessible to a beginning graduate student in statistics. Since I'm not as familiar with R as ...