Обработка систематической ошибки, связанной с длиной временных интервалов между интервью и последним эпизодом в гамма-пауссоновской модели поведения

We develop a technique for quantitative estimates of respondents’ behavior that uses respondents’ answers about the time interval since the last episode. The paper provides the block of questions and formalized set of answers to be used in a questionnaire as well as the mathematical approach for data processing and making the estimates. The respondents’ behavior mathematical model under discussion belongs to the class of generalized Gamma-Poisson stochastic process and takes into account the length bias inherent to the data collected from the respondents’ answers about the last episodes of their behavior.