Beta ridge regression estimators: simulation and application

The beta regression model is commonly used when analyzing data that come in the form of rates or percentages. However, a problem that may encounter when analyzing these kinds of data that has not been investigated for this model is the multicollinearity problem. It is well known that the maximum lik...

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Veröffentlicht in:	Communications in statistics. Simulation and computation Jg. 52; H. 9; S. 4280 - 4292
Hauptverfasser:	Abonazel, Mohamed R., Taha, Ibrahim M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Taylor & Francis 02.09.2023 Taylor & Francis Ltd
Schlagworte:	Beta regression model Empirical analysis Fisher scoring Maximum likelihood Maximum likelihood estimators Mean absolute error Mean squared error Monte Carlo simulation Multicollinearity Regression models Ridge regression
ISSN:	0361-0918, 1532-4141
Online-Zugang:	Volltext
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