A Regression Model for Time Series of Counts
BiometrikaPublished 1 December 1988
Scott L. Zeger
Citations52
SJR quartileQ1
SJR score3.60
SNIP2.67
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Abstract
This paper discusses a model for regression analysis with a time series of counts. Correlation is assumed to arise from an unobservable process added to the linear predictor in a log linear model. An estimating equation approach used for parameter estimation leads to an iterative weighted and filtered least-squares algorithm. Asymptotic properties for the regression coefficients are presented. We illustrate the technique with an analysis of trends in U.S. polio incidence since 1970.
Keywords
Engineering