network profile
| bio | website | |
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| location | ||
| age | ||
| visits | member for | 2 years, 8 months |
| seen | Sep 5 '12 at 20:08 | |
| stats | profile views | 27 |
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Jan 10 |
awarded | Nice Question |
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Jun 29 |
comment |
Dealing with 0,1 values in a beta regression But they don't take this approach. They propose a different model, a mixed discrete continuous process. That is very different from binning the extreme values. As I said before if the beta model is valid then the binning model is valid. If the discrete continuous model is valid then the beta model is invalid. I suspect that they were mostly driven in their analysis by the kinds of mixed models they could fit with their software. The binned beta mixed model is a bit more difficult to fit. |
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Jun 29 |
revised |
Dealing with 0,1 values in a beta regression change the question to make it clear that I propose a different model rather than modifying the data |
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Jun 29 |
comment |
Dealing with 0,1 values in a beta regression But that does not answer my question. I am well aware that one can transform the data. My questions is why not transform the model instead? |
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Jun 29 |
revised |
Dealing with 0,1 values in a beta regression put in missing log() for log-likelihood |
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Jun 28 |
asked | Dealing with 0,1 values in a beta regression |
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Nov 29 |
revised |
lme4 or other open source R package code equivalent to asreml-R explain that there is a difference between existing package and programmming language |
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Nov 28 |
suggested | suggested edit on lme4 or other open source R package code equivalent to asreml-R |
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Nov 24 |
answered | lme4 or other open source R package code equivalent to asreml-R |
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Feb 1 |
comment |
Expected number of runs of length n in coin toss Well you said a formula and 1/2 1/4 1/8 etc is certainly a formula. It seem to me it indicates a rather simple proof. Suppose you start throwing the coin and record the length of each run. the first throw is either H or T. the second throw can be H or T and the probability is 0.5 that they are it is different from the first throw. thus the probability is 0.5 that the length of the string is 1. Similarly it is 0.25 that the length of the string is 2 and so on. |
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Feb 1 |
comment |
Expected number of runs of length n in coin toss each one is 1/2 of the one before and 1/2 + 1/4 +1/8 ... =1 |
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Feb 1 |
comment |
Expected number of runs of length n in coin toss 1/4 1/8 1/16 .... |
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Dec 19 |
comment |
Non-linear model fitting in many dimensions I think that to get good advice you will need to describe your model for us. |
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Dec 15 |
comment |
No valid coefficients for NegBin regression It might require some tweaking. glmmADMB is intended to fit a Negative Binomial mixed model. It would be fairly simple to modify it for just a Negative Binomial regression. |
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Dec 14 |
answered | No valid coefficients for NegBin regression |
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Nov 14 |
comment |
State space form of time varying AR(1) If you post some data, I'll run the model for you and see what happens. |
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Nov 12 |
revised |
State space form of time varying AR(1) A caveat |
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Nov 12 |
awarded | Teacher |
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Nov 11 |
revised |
State space form of time varying AR(1) added 33 characters in body |
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Nov 11 |
awarded | Editor |
