ESTIMATION OF THE PREVALENCE OF TYPES OF DISTRIBUTION LAWS BASED ON THE ENTROPY COEFFICIENT VALUE
Annotation
Results of studies of the "prevalence" of distribution laws in practice are presented. The basis of the studies is the entropy coefficient for parameters of various objects and processes. Inconsistency of the approach based on "total" approximation of the real distribution laws by the normal law when con-ducting research and organizing the management of objects of different nature is substantiated. It is ar-gued that accounting for variability of the analyzed parameter in the form of the entropy coefficient of a real distribution law increases the adequacy of descriptions of uncertainty states, which, in turn, affects the effectiveness of research and decision-making. It makes the methods and technologies of the theory of entropy potentials very convenient and useful "tools" for solving such problems in question. The theory potentialities allow monitoring and organization of control of uncertainty states of complex systems. The use of obtained results makes it possible to quickly assess the dominance of specific types of distribution laws in different situations when solving monitoring and control problems using the entropy approach.
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