Abstract

We introduce a new multivariate regression model based on the generalized Poisson distribution, which we called geographically-weighted multivariate generalized Poisson regression (GWMGPR) model, and we present a maximum likelihood step-by-step procedure to obtain parameters for it. We use the maximum likelihood ratio test to examine the significance of the regression parameters and to define their critical region.

Original languageEnglish
Article number1523
JournalMathematics
Volume8
Issue number9
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Distribution theory
  • Likelihood ratio test
  • Maximum likelihood estimation
  • Spatial analysis

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