On the estimation of Bell regression model using ridge estimator

The bell regression is used, when the response variable is in the form of counts with over dispersion. The bell regression coefficients are generally estimated using the maximum likelihood estimator (MLE). It is known that the performance of the traditional MLE is very sensitive to multicollinearity...

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Veröffentlicht in:	Communications in statistics. Simulation and computation Jg. 52; H. 3; S. 854 - 867
Hauptverfasser:	Amin, Muhammad, Akram, Muhammad Nauman, Majid, Abdul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Taylor & Francis 04.03.2023 Taylor & Francis Ltd
Schlagworte:	Bell distribution Bell ridge regression Bells Maximum likelihood estimator Maximum likelihood estimators Mean squared error Monte Carlo simulation Multicollinearity Regression coefficients Regression models
ISSN:	0361-0918, 1532-4141
Online-Zugang:	Volltext
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