From: Kyle Edwards <kedwards_at_ucdavis.edu>

Date: Tue 03 Apr 2007 - 02:07:51 GMT

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Tue Apr 03 12:15:22 2007

Date: Tue 03 Apr 2007 - 02:07:51 GMT

However, I have also seen this as

Now, my understanding is that for some distributions, the deviance at the parameter means will be equal to the minimum deviance (i.e. these are the maximum likelihood parameter values). But, in other cases this will not be true. I have also read that the choice of exactly which point estimate of the parameters to use is somewhat arbitrary (i.e. one could use the mean, the mode, the median). It would be much easier for me to analyze this data if I can just use the formula with Min(Deviance). Could anyone comment on the difference between these and recommend the best course?

Thanks,

Kyle

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Tue Apr 03 12:15:22 2007

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