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Mixture Poisson Autoregressive (p) Model With Application To Anaemia Cases Among Breast Feeding Children In Mubi North Lga, Adamawa State
This research presents and assesses a novel model for time-series count data, the Mixture Poisson Autoregressive (MPAR) model, which addresses the challenges of discreteness, overdispersion, and serial correlation. The parametric technique is used for the MPAR model with a marginal distribution for the count data. The MPAR model was applied to Anaemia cases among exclusive and non-exclusive breastfeeding children in
