A Complex Weapon System Bayes' Strategy Using Component Test Data
A Complex Weapon System Bayes' Strategy Using Component Test Data
- New search for: Cole, Peter V. Z.
- New search for: Cole, Peter V. Z.
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.
Document information
A Complex Weapon System Bayes' Strategy Using Component Test Data
Sae Technical Papers
9th Reliability and Maintainability Conference ; 1970
1970-02-01
Conference paper
English
Similar titles
Online Contents | 1994
Integrated test program for a weapon system
| AIAA | 1970
Process and tools for the test and evaluation of complex weapon systems
| British Library Conference Proceedings | 1999
Process and tools for the test and evaluation of complex weapon systems
| British Library Conference Proceedings | 1999