A Bayesian method to improve sampling in weapons testing
Floropoulos, Theodore C.
Lindsay, Glenn F.
Johnson, Laura D.
MetadataShow full item record
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.
RightsCopyright is reserved by the copyright owner
Showing items related by title, author, creator and subject.
Ipekkan, Ahmet Ziyaeddin (Monterey, California. Naval Postgraduate School, 1989);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 ...
Manion, Robert B. (Monterey, California. Naval Postgraduate School, 1988);This thesis analyzes a Bayesian method for determining the number of samples that are needed to produce a desired confidence interval size for a proportion or probability. It compares the necessary sample size from Bayesian ...
Hull, Kent Sherwood (1974);Some contrasts between civilian and military facility sources of military dependent outpatient medical care sectors of the Uniformed Services Health Benefits Program system are examined. Decreasing the proportion of ...