Jackknife Kibria-Lukman estimator for the beta regression model

DOI10.1080/03610926.2023.2273206MaRDI QIDQ6641300

Emre Dünder, Tuba Koç

Publication date: 20 November 2024

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

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Efficiency of the modified jackknifed Liu-type estimator
• A new biased estimator based on ridge estimation
• Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function
• Model selection criteria in beta regression with varying dispersion
• Mean squared error matrix comparisons between biased estimators — An overview of recent results
• On beta regression residuals
• A new class of blased estimate in linear regression
• On some beta ridge regression estimators: method, simulation and application
• New shrinkage parameters for the inverse Gaussian Liu regression
• Jackknifing the Ridge Regression Estimator: A Revisit
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Modified ridge-type for the Poisson regression model: simulation and application

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