Some ridge regression estimators for the zero-inflated Poisson model

DOI10.1080/02664763.2012.752448OpenAlexW1967021181MaRDI QIDQ5128955

Kristofer Månsson, Ghazi Shukur, B. M. Golam Kibria

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.752448

zbMATH Keywords

estimationsimulationcount dataridge regressionmulticollinearityzero-inflated Poisson

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10)

Related Items (9)

Beta ridge regression estimators: simulation and application ⋮ Improved two-parameter estimators for the negative binomial and Poisson regression models ⋮ Performance of ridge estimator in skew-normal mode regression model ⋮ Variable selection approach for zero-inflated count data via adaptive lasso ⋮ Application of ridge regression and factor analysis in design and production of alloy wheels ⋮ Unnamed Item ⋮ A new two-parameter estimator for the Poisson regression model ⋮ Model selection criteria for dual-inflated data ⋮ A new improved Liu-type estimator for Poisson regression models

Cites Work

• Unnamed Item
• On Ridge Parameters in Logistic Regression
• On Some Ridge Regression Estimators: An Empirical Comparisons
• A Simulation Study of Some Ridge Estimators
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Performance of Some New Ridge Regression Estimators
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Ridge Regression: Applications to Nonorthogonal Problems
• A Simplex Method for Function Minimization

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