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

Author

Berliana, Sarni Maniar, Purhadi, Sutikno, and Rahayu, Santi Puteri

Subjects
*POISSON distribution, *POISSON regression, *POISSON processes, *PARAMETER estimation, *LIKELIHOOD ratio tests, *STATISTICAL hypothesis testing, *REGRESSION analysis
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. [ABSTRACT FROM AUTHOR]

Published
2020
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