Parameter Estimation and Hypothesis Testing of Geographically Weighted Multivariate Generalized Poisson Regression

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 07 Sep 2020 English Publisher:MDPI AGJournal:Mathematics, volume 8, page 1,523 (eissn: 2227-7390,

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Authors: Sarni Maniar Berliana; null Purhadi; null Sutikno; Santi Puteri Rahayu;

doi: 10.3390/math8091523

Parameter Estimation and Hypothesis Testing of Geographically Weighted Multivariate Generalized Poisson Regression

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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.

Related Organizations

STIS Polytechnic of Statistics
Indonesia
Sepuluh Nopember Institute of Technology
Indonesia

Keywords

spatial analysis, QA1-939, distribution theory, maximum likelihood estimation, likelihood ratio test, Mathematics

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