Accession Number : AD0857547
Title : A Bayesian Approach to Determining the Sample Size for Maintainability Demonstration.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Britt, Paul Sterling ; Ibbotson, Edward Lee
Report Date : JUN 1969
Pagination or Media Count : 116
Abstract : The Bayesian statistics approach incorporates subjective elements of judgment and experience into analytic decision processes. Maintainability programs and demonstration plans contain many such elements and are adaptable to this approach. Using approximate cost functions, a model based on the expected value of sample information is developed to determine the optimal number of tasks (n sub b) to be worked for maintainability demonstration. Two other methods of determining sample sizes are presented--that currently used by Aeronautical Systems Division (n sub a), and a decision theoretic (minimax) approach (n sub m). The methods are compared and analyzed. N sub b gives smaller sample sizes than (n sub m). (Author)
Descriptors : *SAMPLING), (*RELIABILITY, (*SYSTEMS ENGINEERING, MAINTENANCE), COST EFFECTIVENESS, CORRELATION TECHNIQUES, DECISION THEORY, MINIMAX TECHNIQUE, STATISTICAL DISTRIBUTIONS, QUALITY CONTROL, PROBABILITY, THESES.
Subject Categories : Statistics and Probability
Mfg & Industrial Eng & Control of Product Sys
Distribution Statement : APPROVED FOR PUBLIC RELEASE