On the Liu estimator in the beta and Kumaraswamy regression models: A comparative study

DOI10.1080/03610926.2021.1900254OpenAlexW3144036992MaRDI QIDQ5057330

Shima Pirmohammadi, Hamid Bidram

Publication date: 16 December 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2021.1900254

zbMATH Keywords

mean squared errormaximum likelihood estimatorLiu estimatormulti-collinearitybeta regression modelKumaraswamy regression model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• betareg

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Improved Liu estimator in a linear regression model
• Modified restricted Liu estimator in logistic regression model
• A new Liu-type estimator in linear regression model
• Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
• Improved estimators for a general class of beta regression models
• A new regression model for bounded responses
• A new Liu-type estimator
• Liu estimation in generalized linear models: application on gamma distributed response variable
• A new robust regression model for proportions
• Improved Liu-type estimator in partial linear model
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• A new class of blased estimate in linear regression
• On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse
• Using Liu-Type Estimator to Combat Collinearity
• More on the restricted Liu estimator in the logistic regression model
• On the Restricted Liu Estimator in the Logistic Regression Model
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Restricted difference-based Liu estimator in partially linear model

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