Processing issues of data and knowledge about socially significant behavior' episodes near the interview moment

The paper offers an improved method for respondents' behavior parameters estimates based on data about several last episodes. We try to avoid an assumption (which often is not correct) that the next behavior episode happens at the same time as the moment of interview does. The paper outlines some disadvantages of previous method and proposes modeling and processing of uncertainty related to a correct representation of the interview time moment and the next episode. The developed software calculates estimates according to the considered models and supports making numerical experiment.