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A Complex Weapon System Bayes' Strategy Using Component Test Data
ISSN: 0148-7191, e-ISSN: 2688-3627
Published February 01, 1970 by SAE International in United States
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The paper defines a “best” estimate of system effectiveness or reliability as one that minimizes the potential loss due to either overestimating or underestimating such a system figure of merit. A loss function is expressed in terms of the decision maker's order of preference for the consequences of either overestimation (underkill) or underestimation (overkill). However, in order for an estimate to be optimal, sufficient information at the system level should be provided. This lack or abundance of information is reflected in the variability of the measurement of system effectiveness or reliability. The variability and central tendency of this measurement are obtained from the variability and central tendency of the component data. This is achieved through the combined use of effectiveness or reliability models, Monte Carlo simulation and/or probability moments, and Bayesian statistics.
CitationCole, P., "A Complex Weapon System Bayes' Strategy Using Component Test Data," SAE Technical Paper 700625, 1970, https://doi.org/10.4271/700625.
- Weapon System Effectiveness Industry Advisory Committee (WSEIAC) Final Report of Task Group II II Jan 1965
- Raiffa H. Schlaifer R. “Applied Statistical Decision Theory,” Graduate School of Business Administration, Harvard University Boston 1961
- Pratt J. W. Raiffa H. Schlaifer R. “Introduction to Statistical Decision Theory,” McGraw-Hill New York 1965
- Mood A. Graybill F. “Introduction to the Theory of Statistics,” McGraw-Hill New York 1963
- Springer M. D. Thompson W. E. “Bayesian Confidence Limits for the Product of N Binomial Parameters,” Biometrika 53 611 613 1966
- Goodman L. A. “On the Exact Variance of Products,” Journal of the American Statistical Assoc. 55 708 Dec 1960
- Naylor T. H. Blaintfy J. L. Burdak D. S. Chu K. “Computer Simulation Techniques,” John Wiley and Sons, Inc. New York 1964
- McCracken D. D. Dorn W. S. “Numerical Methods and Fortran Programming,” John Wiley and Sons, Inc. New York 1964
- Mastran D. “Monte Carlo Approach to Reliability Statements Based on Attribute Data,” G. E. Technical Information Series No. 678D213 Apr 1967
- Breipohl A. Prairie R. R. Zimmer W. J. “A Consideration of the Bayesian Approach in Reliability Evaluation,” IEEE Transactions on Reliability R-14 2 Oct 1965
- Buehler R. J. “Confidence Limits for the Product of Two Binomial Parameters,” Journal of the American Statistical Association 52 482 493 1957