Comparative Performance Analysis for Poisson and Poisson-Inverse Generalized Linear Models on Supply Chain Management

This research paper provides a comprehensive analysis of three distinct Generalized Linear Models (GLMs): the traditional linear regression, the Poisson GLM, and the Poisson-Inverse Gaussian GLM. The study applies these models to the domain of Supply Chain Management for product demand modeling. To evaluate the goodness of fit of our models, we assess them by comparing their performance against the associated deviance function. Our findings indicate that the Poisson-Inverse Gaussian GLM outperforms both the Poisson GLM and the linear regression model in terms of goodness of fit.