A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation

DOI10.1080/00949655.2021.2005063OpenAlexW3215287305MaRDI QIDQ5083340

Muhammad Nauman Akram, Kristofer Månsson, Muhammad Qasim, Muhammad Amin

Publication date: 22 June 2022

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

Full work available at URL: https://doi.org/10.1080/00949655.2021.2005063

zbMATH Keywords

mean squared errormaximum likelihood estimatormulticollinearitygamma regression modelrestricted gamma ridge regression estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• alr3

Cites Work

• Unnamed Item
• Improving the estimators of the parameters of a probit regression model: a ridge regression approach
• Performance of some ridge estimators for the gamma regression model
• Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
• The Distribution of the Kolmogorov–Smirnov, Cramer–von Mises, and Anderson–Darling Test Statistics for Exponential Populations with Estimated Parameters
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• A new estimator combining the ridge regression and the restricted least squares methods of estimation
• On ordinary ridge regression in generalized linear models
• Optimal generalized logistic estimator
• Restricted ridge estimator in the logistic regression model
• Performance of Some New Ridge Regression Estimators
• Restricted Estimation of Generalized Linear Models
• On the performance of some new Liu parameters for the gamma regression model
• A comparison of preliminary test, Stein-type and penalty estimators in gamma regression model
• A new Poisson Liu Regression Estimator: method and application
• On some beta ridge regression estimators: method, simulation and application
• Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses
• A restricted Liu estimator for binary regression models and its application to an applied demand system
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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