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A Bayesian method to improve sampling in weapons testing

Approved for public release; distribution is unlimited / This thesis describes a Bayesian method to determine the number of samples needed to estimate a proportion or probability with 95% confidence when prior bounds are placed on that proportion. It uses the Uniform [a,b] distribution as the prior, and develops a computer program and tables to find the sample size. Tables and examples are also given to compare these results with other approaches for finding sample size. The improvement that can be obtained with this method is fewer samples, and consequently less cost in Weapons Testing is required to meet a desired confidence size for a proportion or probability. / http://archive.org/details/bayesianmethodto00flor / Lieutenant Commander, Hellenic Navy

Identiferoai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/22930
Date12 1900
CreatorsFloropoulos, Theodore C.
ContributorsLindsay, Glenn F., Johnson, Laura D., Naval Postgraduate School (U.S.), Operations Research
Source SetsNaval Postgraduate School
Languageen_US
Detected LanguageEnglish
TypeThesis
Format46 p., application/pdf
RightsCopyright is reserved by the copyright owner

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