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2024 | OriginalPaper | Chapter

On Some Weighted Mixed Ridge Regression Estimators: Theory, Simulation and Application

Authors : Mustafa I. Alheety, Muhammad Qasim, Kristofer Månsson, B. M. Golam Kibria

Published in: Mathematical Analysis and Numerical Methods

Publisher: Springer Nature Singapore

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Abstract

Comparisons among some new types of weighted mixed regression estimators for the linear regression model under the stochastic linear restrictions have been made in this paper. The mean squared error criterion is used to examine the superiority of different weighted mixed regression estimators. A Monte Carlo simulation study and real-life application are carried out to compare the performance of these estimators for different cases. Finally, we suggest the best weighted mixed regression estimator with collinear regressors.

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Metadata
Title
On Some Weighted Mixed Ridge Regression Estimators: Theory, Simulation and Application
Authors
Mustafa I. Alheety
Muhammad Qasim
Kristofer Månsson
B. M. Golam Kibria
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Mathematical Analysis and Numerical Methods

Print ISBN: 978-981-9748-75-4

Electronic ISBN: 978-981-9748-76-1

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-4876-1_6

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