ИСТИНА

Some results of the statistical analysis of the observed regularities in some characteristics of the precipitation process are presented in the paper. The importance of this problem is emphasized by that the information concerning the regularities in duration of wet and dry periods plays a significant role in predicting floods and preventing them. It is demonstrated that the fluctuations of durations of wet or dry periods can be successfully modeled by the negative binomial probability distribution. The parameters of this distribution as well as moment characteristics such as expectation, variance, and variation coefficient are calculated for numerous stations in Europe, Russia and neighboring countries. The values of these parameters of statistical regularities inherent in the data under study can significantly improve the efficiency and accuracy of intellectual data analysis by introducing additional features at the learning stage without any actual increase of the amount of available data.