Number of samples needed to obtain desired Bayesian confidence intervals for a proportion
By: Robert B. Manion
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1988
Place of publication: Monterey, California
Language: eng
Number of pages: 102
Subjects: Operations research
Description: 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 methods with that from classical methods and develops computer programs relating sample size and confidence interval size when a Beta prior distribution is employed. Tables and graphs are developed to assist an experimenter in determining the number of samples needed to produce desired confidence in this estimate of a proportion or probability. Keywords: Theses; Decision making; Statistical data.
Notes: Thesis advisor(s): Lindsay,  Glenn Frank.

"March 1988."

Thesis (M.S. in Operations Research)--Naval Postgraduate School, March 1988.

Includes bibliographical references: (p. 101).

Approved for public release, distribution unlimited.

US Army (USA) author.