Number of test samples needed to obtain a desired Bayesian confidence interval for a proportion.
numberoftestsamp00ipek.pdf (4.149Mb)Abstract
One recurring problem in military operational test and evaluation is determination
of the number of items to test. This thesis describes a Bayesian
method to determine the sample size that is needed to estimate a proportion
or probability with a (1-ą)100 confidence when a prior distribution is given to
that proportion. It uses the two variants of the triangular distribution as priors
and develops computer programs, graphs, and tables to assist in finding the
required sample size. These results are compared with other approaches in
determining the required sample sizes that are needed to obtain a desired
confidence interval for a proportion or probability.
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