Диагностика регрессионных уравнений в анализе интенсивности рискованного поведения по его последним эпизодам

We describe a technique that improves the beta-prime models fitted for the last episodes of risky behavior. Regression models show interconnections between rate parameters and respondents’ demographic and psychological trades. We examine these models using such criteria as jackknife and test of overdispersion. Also we develop a method for uncertainty processing in case of a special type of respondents’ answers (―today‖ answers) about the time of their last behavior episode.