# All Questions

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### Estimation of AR(1) process

Suppose the stochastic process ${X_t}$ satisfies the equation $$X_t=\phi X_{t-1} + Z_t \tag{A}$$ where $\phi>1$ and $Z_t$ is a white noise. Then iterating forward we get that the only stationary ...
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### Logistic models as variables in a logistic model

I have a binomial logistic model I'm working on, with roughly 6 significant variables. I'd like one of those variables to be how likely something else is to happen. Lets say that I'm primarily ...
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### How to find weber fractions from a confusion matrix

I have a confusion matrix for a 4 class classification problem which looks this: My hypothesis is that group 3 is easiest to classify. Somebody suggested me that I can find weber fractions from this ...
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### Given loads of data, can we always model it with polynomials?

Given Taylor series and enough data so as to not risk over-fitting, do you actually need to think about if your phenomenon is following an exponential, quadratic, logarithmic, ..., behaviour? I'm sure ...
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### Which regression analysis should I use for ranked dependent variables and proportional independent variables?

I am analysing the effect of deprivation on breastfeeding and am wondering which type of regression analysis I should use. It is area level data. Deprivation data is available as a score from 0 - ...
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### Why is the ratio of $B$ and $e^{B}$ for some variables very large?

I want to know how variables affect travel mode for different trip purposes (i.e. leisure trips, work trips and shopping trips) in a specified region. I have 450 respondents in three different ...
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### K means clustering inadequate in determining extreme regions in R

I want to identify the regions that are considerably higher than the highest cluster. (The obvious regions which should be identified as their own clusters, notably at the x coordinate ~10 e+07. How ...
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### What is the best way to simulate data for a linear regression model?

I am concerned with simulating data for a linear regression model. I need to control the means, variances, and correlations (covariances) between the predictors and the criterion variable. In ...