Probabilistic distributions of ordinal statistics in the analysis of super-short fuzzy and incomplete time series
The paper presents results of a stage of research devoted to approaches to an estimation of rate of risky behavior. The paper contains the description of ways of formation of the specified estimation of the rate on the basis of the maximum and minimum interval, and also an median interval between the behavior episodes. A solution of the problem is based on formation and the analysis of formulas for distribution (and joint distribution) functions corresponding to ordinal statistics, distribution density, and also on a choice of values of their parameters. Several approaches to the analysis of quality of the received estimations are offered.