Selection and validation of approximate distribution models for probability densities of particular quality indicators of different classes for information systems
Annotation
The article outlines an approach to the construction of approximate models of probability density (function) distributions of particular quality indicators for information systems which uses various procedures of approximation of real heterogeneous probability densities by their known simplified analogues. This results in a substantial reduction of the computation complexity of the problem of assessing the quality of such systems.
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