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KIAM Preprint  17, Moscow, 2015
Authors: Vlasyuk A.A., Orlov Y. N.
Identification accuracy of sample distribution functions for time series depending on distribution type, norm and sample length
Abstract:
Statistical methods of sample distribution identification have been investigated for several types of general distributions unimodal, bimodal and distributions with high dispersion. For various types of general distributions the optimal identification depends on norm and sample length. The optimal level of separation is determined as a result of statistical experiments.
Keywords:
Identification accuracy of sample distribution functions for time series depending on distribution type, norm and sample length
Publication language: russian,  pages: 25
Research direction:
Mathematical modelling in actual problems of science and technics
Russian source text:
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