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Journal of Applied Statistics Volume 48, 2021 - Issue 13-15: Special Issue: Recent Statistical Methods for Data Analysis, Applied Economics, Business & Finance
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Regression Analysis

A new robust ridge parameter estimator based on search method for linear regression model

Atila GöktaşDepartment of Statistics, Muğla Sıtkı Koçman University, Muğla, Turkey
,
Özge AkkuşDepartment of Statistics, Muğla Sıtkı Koçman University, Muğla, TurkeyCorrespondence[email protected]
[email protected]
&
Aykut KuvatDepartment of Statistics, Muğla Sıtkı Koçman University, Muğla, Turkey
Pages 2457-2472 | Received 23 Mar 2020, Accepted 26 Jul 2020, Published online: 07 Aug 2020

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Read on this site (2)

Maha Shabbir, Sohail Chand & Farhat Iqbal. (2022) Bagging-based ridge estimators for a linear regression model with non-normal and heteroscedastic errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
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A. Göktaş & Ö. Akkuş. (2021) Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance. Journal of Applied Statistics 48:13-15, pages 2231-2238.
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Articles from other publishers (1)

Selman Mermi, Özge Akkuş, Atila Göktaş & Necla Gündüz. (2024) A new robust ridge parameter estimator having no outlier and ensuring normality for linear regression model. Journal of Radiation Research and Applied Sciences 17:1, pages 100788.
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