On the performance of some new ridge parameter estimators in the Poisson-inverse Gaussian ridge regression
The Poisson Inverse Gaussian Regression model (PIGRM) is used for modeling the count datasets to deal with the issue of over-dispersion. Generally, the maximum likelihood estimator (MLE) is used to estimate the PIGRM estimates. In the PIGRM, when the explanatory variables are correlated, the MLE doe...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-05-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823001424 |