New penalized M-estimators in robust ridge regression: real life applications using sports and tobacco data-Reference-Cited by-同舟云学术

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New penalized M-estimators in robust ridge regression: real life applications using sports and tobacco data

Published:2023-12-20 Issue: Volume: Page:1-20
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Wasim Danish¹²^ORCID,Khan Sajjad Ahmad²^ORCID,Suhail Muhammad³^ORCID,Shabbir Maha⁴^ORCID

Affiliation:

1. Department of Microbiology, Abasyn University, Peshawar, Pakistan

2. Department of Statistics, Islamia College, Peshawar, Pakistan

3. Department of Statistics, The University of Agriculture, Peshawar, Pakistan

4. College of Statistical Sciences, University of the Punjab, Lahore, Pakistan

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2023.2293648

Reference35 articles.

1. Robust Liu estimator for regression based on an M-estimator

2. Modified Liu estimators in the linear regression model: An application to Tobacco data

3. Chatterjee, S., and A. S. Hadi. 2015. Regression analysis by example. John Wiley & Sons.

4. Condition-index based new ridge regression estimator for linear regression model with multicollinearity

5. New ridge parameters for ridge regression

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data;Journal of Statistical Computation and Simulation;2024-08-20

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