Modeling emergency health service utilized by young adults with mental health problem in Nova Scotia using a count time-series
Understanding emergency health service (EHS) required by young adults with mental health problem is an important factor both for the quality of service and management decision. Number of emergency call can be modeled as a counting process in a several different manners. In this study, we use a counting time-series model to investigate the above processes. Specifically, we started with Poisson time-series and incorporated other distributions (for example, Negative Binomial Distribution) to overcome the limitations inherent to Poisson distribution. We used the EHS Nova Scotia data to fit our model. Performance of different models is compared along with their advantages and limitations.
Speaker: Dr. Shams Zaman
Affiliation: Department of Finance, Information Systems, and Management Science, SMU