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Re: st: Comparing non-parametric bootstrap vs. Monte Carlo
Neil is correct. I should have mentioned the references.
So here are some of them: Leslie Kish, in Survey Sampling, covers the finite population
correction on pp. 43ff. Sharon Lohr, in Sampling: Design and Analysis, addresses
this matter on pp 33,45. She also refers to this matter in pp. 196-199. W. E. Deming
in Some Theory on Sampling takes it up on pp. 103-104. Efron and Tibshirani, 1986, sec 9
take up the number of iterations needed.
Robert A. Yaffee, Ph.D.
Shirley M. Ehrenkranz
School of Social Work
New York University
2100 Linwood Ave.
Fort Lee, NJ
----- Original Message -----
From: Neil Shephard <email@example.com>
Date: Monday, May 14, 2007 9:16 am
Subject: Re: st: Comparing non-parametric bootstrap vs. Monte Carlo
> On 5/14/07, Robert A Yaffee <firstname.lastname@example.org> wrote:
> > Carlo,
> > A reading of Kish, Lohr, Deming and others on sampling will show
> differences due to finite population
> > effect will diminish as the sample size increases. At the size you
> propose to investigate, there
> > should be little difference between the methods in which you are
> interested. You will find more
> > on this in Efron's works on the correct number of bootstrap trials
> to use.
> The above is no doubt useful to some, but would be useful to far more
> people (both now and in the future for those who may search/browse the
> archives) if the complete references were provided.
> As stated in the Statalist FAQ (under
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> full reference."
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