On the James-Stein estimator for the poisson regression model

DOI10.1080/03610918.2020.1775851OpenAlexW3038121292MaRDI QIDQ5042151

Muhammad Amanullah, Muhammad Nauman Akram, Muhammad Amin

Publication date: 18 October 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2020.1775851

zbMATH Keywords

maximum likelihood estimationPoisson regression modelmulticollinearityPoisson James-Stein estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (10)

New ridge estimators in the inverse Gaussian regression: Monte Carlo simulation and application to chemical data ⋮ Two-parameter estimator for the inverse Gaussian regression model ⋮ On the performance of some biased estimators in the gamma regression model: simulation and applications ⋮ On the generalized biased estimators for the gamma regression model: methods and applications ⋮ Poisson regression diagnostics with ridge estimation ⋮ A new biased estimator for the gamma regression model: Some applications in medical sciences ⋮ On the estimation of Bell regression model using ridge estimator ⋮ On the Liu estimation of Bell regression model in the presence of multicollinearity ⋮ Modified ridge-type for the Poisson regression model: simulation and application ⋮ A new improved Liu-type estimator for Poisson regression models

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Performance of some ridge estimators for the gamma regression model
• A new two-parameter estimator for the Poisson regression model
• Shrinkage and Penalty Estimators of a Poisson Regression Model
• On Some Ridge Regression Estimators: An Empirical Comparisons
• Alternative estimators in logistic regression when the data are collinear
• On ordinary ridge regression in generalized linear models
• A new class of blased estimate in linear regression
• Choosing Ridge Parameter for Regression Problems
• Performance of Some New Ridge Regression Estimators
• Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model
• On the performance of some new Liu parameters for the gamma regression model
• More on the restricted Liu estimator in the logistic regression model
• A new Poisson Liu Regression Estimator: method and application
• Liu-type estimator for the gamma regression model
• A new Liu-type estimator for the Inverse Gaussian Regression Model
• Developing a Liu estimator for the negative binomial regression model: method and application
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Almost unbiased ridge estimator in the gamma regression model
• Penalized and ridge-type shrinkage estimators in Poisson regression model

This page was built for publication: On the James-Stein estimator for the poisson regression model