ESTIMATION METHODS FOR QUALITY INDICATORS OF COMPLEX SYSTEMS FUNCTIONING
Annotation
A comparative analysis of method of maximum posterior probability and experimental information priority method as applied to estimation of quality indicators of complex systems functioning, is carried out. One of the basic advantages of experimental information priority method, namely the account for proximity of aprioristic and experimental data, is noted to exclude the necessity of checking uniformity of the entire available information. It is also shown that this method may be used in the absence of aprioristic distribution. With a known aprioristic distribution of the estimated parameter, the posterior estimates obtained by methods of a maximum of a posterior probability and a priority of the experimental information, coincide. Formulas for determining the gain in the number of tests and the accuracy of evaluation obtained by taking into account a priori information, are presented.
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