Examination of Residuals to Vancouver Crisis Call Data by Using Hidden Markov Models

Abstract

Three years of daily crisis calls (N=2,513,478) were examined in a regression analysis with terms for effects for weekday, end and beginning of the month, holiday, seasonal trend, and long-term linear trend. This was followed by an analysis of residuals using hidden Markov models, with three states best fitting the residuals. These states may reflect economic or environmental variables which researchers should clarify in further work.