A Bayesian Approach to Determining the Sample Size for Maintainability Demonstration.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
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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
- Statistics and Probability
- Operations Research
- Manufacturing and Industrial Engineering and Control of Production Systems