Sensitivity testing and analysis
New methods of sensitivity testing and analysis are proposed. The new test method utilizes Maximum Likelihood Estimates to pick the next test level in order to maximize knowledge of both the mean, {mu}, and the standard deviation, {sigma} of the population. Simulation results demonstrate that this new test provides better estimators (less bias and smaller variance) of both {mu} and {sigma} than the other commonly used tests (Probit, Bruceton, Robbins-Monro, Langlie). A new method of analyzing sensitivity tests is also proposed. It uses the Likelihood Ratio Test to compute regions of arbitrary confidence. It can calculate confidence regions, for {mu}, {sigma}, and arbitrary percentiles. Unlike presently used methods, such as the program ASENT which is based on the Cramer-Rao theorem, it can analyze the results of all sensitivity tests, and it does not significantly underestimate the size of the confidence regions. The new test and analysis methods will be explained and compared to the presently used methods. 19 refs., 12 figs.
- Research Organization:
- EG and G Mound Applied Technologies, Miamisburg, OH (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-88DP43495
- OSTI ID:
- 6244692
- Report Number(s):
- MLM-3701(OP); CONF-9106187-4; ON: DE92002033
- Resource Relation:
- Conference: 16. international pyrotechnic seminar, Jonkoping (Sweden), 24-28 Jun 1991
- Country of Publication:
- United States
- Language:
- English
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