Number of test samples needed to obtain a desired Bayesian confidence interval for a proportion.
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Authors
Ipekkan, Ahmet Ziyaeddin
Subjects
Proportion
Prior Distribution
Bayesian Methods
Confidence Interval Size
Triangular Distribution
Posterior Dist.
Prior Distribution
Bayesian Methods
Confidence Interval Size
Triangular Distribution
Posterior Dist.
Advisors
Lindsay, Glenn F.
Date of Issue
1989
Date
March 1989
Publisher
Monterey, CA; Naval Postgraduate School
Language
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.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
74 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.