Identification accuracy of sample distribution functions for time series depending on distribution type, norm and sample length

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.