Abstract
Models for time series count data include several proposed by Zeger and Qaqish (1988), subsequently generalized into the GARMA family. The GAR(1) model is examined in detail. The maximum likelihood estimation of the parameters will be discussed and the properties of Pearson and randomized residuals will be examined.
DOI
10.22237/jmasm/1146456720
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
