Hello Robert, would it be an idea to construct CI's with bootstrap methods? If yes, you can use package "boot", based on the book of Davison & Hinkley or the package "bootstrap", based on the book of Efron &Tibshirani. You can put the estimator inside for argument "theta".
Bests, Ralph Am Thursday 25 September 2008 07:56:56 schrieb Robert A. LaBudde: > I need to construct confidence intervals for the binomial variance. > This is the usual estimate > > v = x*(n-x)/n > > or its unbiased counterpart > > v' = x*(n-x)/(n-1) > > where x = binomial number of successes observed in n Bernoulli trials > from proportion p. > > The usual X^2 method for variance confidence intervals will not work, > because of the strong non-normal character of the sampling > distribution for v (or v'). > > Does anyone know of an R package with R function that computes a > reasonable confidence interval for v or v'? > > Thanks. > ================================================================ > Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED] > Least Cost Formulations, Ltd. URL: http://lcfltd.com/ > 824 Timberlake Drive Tel: 757-467-0954 > Virginia Beach, VA 23464-3239 Fax: 757-467-2947 > > "Vere scire est per causas scire" > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.