Prediction of statistical system performance from parameter distributions.
Franson, Alvin LaVerne
Parker, Sydney R.
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Techniques for extrapolating statistical data on the parameters of individual components to the statistical performance index for an overall system are considered. Two cases are evaluated. (1) The deterministic case in which the system's performance index is known functionally in terms of the system parameters. (2) The non-deterministic case in which only limited data on the performance index and its sensitivity with respect to system parameters is know. Computer programs are developed in both cases for combining given probability density distributions for the parameters into an overall probability density distribution for the system performance index. Theory and programs are developed and verified with a specific numerical example.
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