Small sample size in robust design model

questions concerning analysis/theory using program MARK

Small sample size in robust design model

Postby davidsv » Wed Sep 13, 2006 6:28 am

Hello everybody,

I have gone through all the messages posted in the forum dealing with the robust desing and I have found a sentence that I have not arrived to understand since English is not my native language. It was posted on February 8th 2006 in a reply given by Dr. Kendall to Todd, he said “If by total population size you mean the number of animals in the study area at a given time, you can get that out of the regular robust design model or the Huggins robust design model … I believe most folks have had more luck with the Huggins model than the regular robust design, which seems to be more stable especially with smaller sample sizes”.

I am quite unsure which model seems to be more stable with small sample sizes: Huggins model or the regular one. Does anybody have any other suggestion when dealing with small sample size in the robust design?

I would appreciate any help solving this doubt.

Thanks,
davidsv
 
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Postby Bill Kendall » Wed Sep 13, 2006 12:05 pm

Sorry for the confusion by the phrasing of my previous note. I meant to say that I believe the Huggins robust design model tends to be more stable when sample size is small.
Bill Kendall
 
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Postby davidsv » Wed Sep 13, 2006 6:27 pm

Thanks for helping me out Dr. Kendall. I really appreciate it.

Sincerely,
davidsv
 
Posts: 2
Joined: Sat Mar 11, 2006 1:39 am
Location: Quito-Ecuador


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