Bootstrap Liu estimators for Poisson regression model

DOI10.1080/03610918.2021.1916825OpenAlexW3161105343MaRDI QIDQ6049853

Muhammad Suhail, Unnamed Author

Publication date: 18 September 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1916825

zbMATH Keywords

maximum likelihoodridge regressionmulticollinearityPoissonbootstrappingLiu

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• The wild bootstrap, tamed at last
• Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap
• On Ridge Parameters in Logistic Regression
• A Monte Carlo Study of Recent Ridge Parameters
• On Some Ridge Regression Estimators: An Empirical Comparisons
• Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
• Ridge regression:some simulations
• A new class of blased estimate in linear regression
• On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse
• Choosing Ridge Parameter for Regression Problems
• Performance of Some New Ridge Regression Estimators
• Efficient Estimation and Robust Inference of Linear Regression Models in the Presence of Heteroscedastic Errors and High Leverage Points
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
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