Model Selection for Time Series Count Data with Over-Dispersion
Saleh Ibrahim Musa & N. O. Nweze · Asian Journal of Probability and Statistics · 2021
Time series of count with over-dispersion is the reality often encountered in many biomedical and public health applications. Statistical modelling of this type of series has been a great challenge. Rottenly, the Poisson and negative binomial distributions have been widely used...
Open access
Research Article
10.9734/ajpas/2021/v14i230326