106
Views
46
CrossRef citations to date
0
Altmetric
Original Articles

On the almost unbiased ridge regression estimator

Pages 729-743 | Received 01 Oct 1987, Published online: 13 Feb 2011

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (22)

Ramajeyam Tharshan & Pushpakanthie Wijekoon. (2024) Poisson-modification of the Quasi Lindley optimal generalized regression estimator. Statistics 58:2, pages 247-276.
Read now
Catalina García García, Roman Salmerón Gómez & José García Pérez. (2022) A review of ridge parameter selection: minimization of the mean squared error vs. mitigation of multicollinearity. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
Read now
Ramajeyam Tharshan & Pushpakanthie Wijekoon. (2022) Ridge estimator in a mixed Poisson regression model. Communications in Statistics - Simulation and Computation 0:0, pages 1-18.
Read now
Funda Erdugan. (2022) An almost unbiased Liu-type estimator in the linear regression model. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
Read now
Selman Mermi, Atila Göktaş & Özge Akkuş. (2021) Are most proposed ridge parameter estimators skewed and do they have any effect on MSE values?. Journal of Statistical Computation and Simulation 91:10, pages 2074-2093.
Read now
Fengyue Zhang & Lichun Wang. (2021) Linear Bayesian estimators for linear models with constraints. Journal of Statistical Computation and Simulation 91:8, pages 1635-1650.
Read now
M. Revan Özkale & Özge Kuran. (2019) Adaptation of the jackknifed ridge methods to the linear mixed models. Journal of Statistical Computation and Simulation 89:18, pages 3413-3452.
Read now
Claudia García, Román Salmerón Gómez & Catalina B. García. (2019) Choice of the ridge factor from the correlation matrix determinant. Journal of Statistical Computation and Simulation 89:2, pages 211-231.
Read now
Issam Dawoud & Selahattin Kaçıranlar. (2017) Evaluation of the predictive performance of the r-k and r-d class estimators. Communications in Statistics - Theory and Methods 46:8, pages 4031-4050.
Read now
Mansi Khurana, Yogendra P. Chaubey & Shalini Chandra. (2014) Jackknifing the Ridge Regression Estimator: A Revisit. Communications in Statistics - Theory and Methods 43:24, pages 5249-5262.
Read now
A. V. Dorugade. (2014) New ridge parameters for ridge regression. Journal of the Association of Arab Universities for Basic and Applied Sciences 15:1, pages 94-99.
Read now
Mustafa Ismaeel Alheety & B.M. Golam Kibria. (2013) Modified Liu-Type Estimator Based on (r − k) Class Estimator. Communications in Statistics - Theory and Methods 42:2, pages 304-319.
Read now
Meral Ebegil & Fikri Gökpınar. (2012) A test statistic to choose between Liu-type and least-squares estimator based on mean square error criteria. Journal of Applied Statistics 39:10, pages 2081-2096.
Read now
Funda Erdugan & Fikri Akdeniz. (2012) Computational Method for Jackknifed Generalized Ridge Tuning Parameter based on Generalized Maximum Entropy. Communications in Statistics - Simulation and Computation 41:8, pages 1411-1429.
Read now
Yalian Li & Hu Yang. (2011) On the Performance of the Jackknifed Modified Ridge Estimator in the Linear Regression Model with Correlated or Heteroscedastic Errors. Communications in Statistics - Theory and Methods 40:15, pages 2695-2708.
Read now
A.V. Dorugade & D.N. Kashid. (2010) Subset Selection in Linear Regression Using Generalized Ridge Estimator. Journal of Statistical Theory and Practice 4:3, pages 375-389.
Read now
Fikri Akdeniz & Hamza Erol. (2003) Mean Squared Error Matrix Comparisons of Some Biased Estimators in Linear Regression. Communications in Statistics - Theory and Methods 32:12, pages 2389-2413.
Read now
Sadullah Sakallioğlu, Selabattin Kaçiranlar & Fikri Akdeniz. (2001) MEAN SQUARED ERROR COMPARISONS OF SOME BIASED REGRESSION ESTIMATORS. Communications in Statistics - Theory and Methods 30:2, pages 347-361.
Read now
Fikri Akdeniz & Selahattin Kaçiranlar. (1995) On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse. Communications in Statistics - Theory and Methods 24:7, pages 1789-1797.
Read now
C Thiart, T.T Dunne, C.G Troskie & D.O Chalton. (1993) A simulation study of biased estimators against the ordinary least squares estimator. Communications in Statistics - Simulation and Computation 22:2, pages 569-589.
Read now
Fassil Nebebe & Ah Boon Sim. (1990) The relative performances of improved ridge estimators and an empirical bayes estimator: some monte carlo results. Communications in Statistics - Theory and Methods 19:9, pages 3469-3495.
Read now

Articles from other publishers (24)

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.
Crossref
Sidra Mustafa, Muhammad Amin, Muhammad Nauman Akram & Nimra Afzal. (2022) On the performance of link functions in the beta ridge regression model: Simulation and application. Concurrency and Computation: Practice and Experience 34:18.
Crossref
Ramajeyam Tharshan & Pushpakanthie Wijekoon. (2022) On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data. The Scientific World Journal 2022, pages 1-18.
Crossref
Kayode AYİNDE, Emmanuel ADEWUYİ & Lukman Adewale FOLARANMİ. (2022) Alternative Ridge Parameters in Linear ModelDoğrusal Regresyonda Alternatif Ridge Parametreleri. Nicel Bilimler Dergisi 4:1, pages 22-46.
Crossref
Aydın Karakoca. (2022) A New Type Iterative Ridge Estimator: Applications and Performance Evaluations. Journal of Mathematics 2022, pages 1-12.
Crossref
Hasan Yıldırım & M. Revan Özkale. (2021) LL-ELM: A regularized extreme learning machine based on $$L_{1}$$-norm and Liu estimator. Neural Computing and Applications 33:16, pages 10469-10484.
Crossref
Nadwa Khazaal Rashad, Nawal Mahmood Hammood & Zakariya Yahya Algamal. (2021) Generalized ridge estimator in negative binomial regression model. Journal of Physics: Conference Series 1897:1, pages 012019.
Crossref
Muhammad Qasim, Kristofer Månsson, Muhammad Amin, B. M. Golam Kibria & Pär Sjölander. (2020) Biased Adjusted Poisson Ridge Estimators-Method and Application. Iranian Journal of Science and Technology, Transactions A: Science 44:6, pages 1775-1789.
Crossref
Mustafa Nadhim Lattef & Mustafa Ismaeel Naif. (2020) STUDY OF SOME KINDS OF ALMOST UNBIASED ESTIMATOR AND PRINCIPLE COMPONENT ESTIMATOR FOR REGRESSION MODEL. Journal of Physics: Conference Series 1664:1, pages 012036.
Crossref
Hasan Yıldırım & M. Revan Özkale. (2020) An Enhanced Extreme Learning Machine Based on Liu Regression. Neural Processing Letters 52:1, pages 421-442.
Crossref
Sergio Perez-Melo & B. M. Golam Kibria. (2020) On Some Test Statistics for Testing the Regression Coefficients in Presence of Multicollinearity: A Simulation Study. Stats 3:1, pages 40-55.
Crossref
Volkan Sevinç & Atila Göktaş. (2019) A Comparison of Different Ridge Parameters under Both Multicollinearity and Heteroscedasticity. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23:2, pages 381-389.
Crossref
M. Revan Özkale & Engin Arıcan. (2018) A first-order approximated jackknifed ridge estimator in binary logistic regression. Computational Statistics 34:2, pages 683-712.
Crossref
A. George Assaf, Mike Tsionas & Anastasios Tasiopoulos. (2019) Diagnosing and correcting the effects of multicollinearity: Bayesian implications of ridge regression. Tourism Management 71, pages 1-8.
Crossref
Selahattin Kaçıranlar & Issam Dawoud. (2019) The optimal extended balanced loss function estimators. Journal of Computational and Applied Mathematics 345, pages 86-98.
Crossref
Ghadban Khalaf & Mohamed Iguernane. (2016) Multicollinearity and A Ridge Parameter Estimation Approach. Journal of Modern Applied Statistical Methods 15:2, pages 400-410.
Crossref
Tianshu Feng, Fuzhen Zhuang & Qing He. (2015) Improving ESVM with Generalized Cross-Validation. Improving ESVM with Generalized Cross-Validation.
Issam Dawoud & Selahattin Kaçiranlar. (2015) Two Stages Liu Regression Estimator. Communications in Statistics - Simulation and Computation, pages 00-00.
Crossref
Ka Yiu Wong & Sung Nok Chiu. (2015) An iterative approach to minimize the mean squared error in ridge regression. Computational Statistics 30:2, pages 625-639.
Crossref
Moawad El-Fallah Abd El-Sal. (2011) RETRACTED: An Efficient Estimation Procedure For Determining Ridge Regression Parameter. Asian Journal of Mathematics & Statistics 4:2, pages 90-97.
Crossref
M. Revan Özkale. (2008) A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors. Statistics & Probability Letters 78:18, pages 3159-3169.
Crossref
Sadullah Sakallıoğlu & Selahattin Kaçıranlar. (2006) A new biased estimator based on ridge estimation. Statistical Papers 49:4, pages 669-689.
Crossref
Peiliang Xu & Reiner Rummel. (1994) A Simulation Study of Smoothness Methods In Recovery of Regional Gravity Fields. Geophysical Journal International 117:2, pages 472-486.
Crossref
. 1990. Regression Estimators. Regression Estimators 327 334 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.