The r – d class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses

DOI10.1080/00949655.2018.1563791OpenAlexW2907747063MaRDI QIDQ5107343

M. Revan Özkale

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1563791

zbMATH Keywords

mean squared errormaximum likelihood estimatorgeneralized linear modelsLiu estimatorprincipal component regression estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Modified ridge-type estimator for the inverse Gaussian regression model ⋮ The r-k class estimator in generalized linear models applicable with simulation and empirical study using a Poisson and Gamma responses ⋮ The \(\mathrm{r}\)-\(\mathrm{d}\) class predictions in linear mixed models ⋮ The stochastic restricted ridge estimator in generalized linear models

Uses Software

• PROC REG
• dobson

Cites Work

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• On the Restricted Liu Estimator in the Logistic Regression Model
• A Simulation Study of Some Biasing Parameters for the Ridge Type Estimation of Poisson Regression
• On the Principal Component Liu-type Estimator in Linear Regression
• Some Comments on C P

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