Advanced search
Publication Cover
Communications in Statistics - Theory and Methods Volume 40, 2011 - Issue 22
Submit an article Journal homepage
192
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

More on the Bias and Variance Comparisons of the Restricted Almost Unbiased Estimators

Jianwen Xu Department of Statistics and Actuarial Science, Chongqing University, Chongqing, ChinaCorrespondence[email protected]
&
Hu Yang Department of Statistics and Actuarial Science, Chongqing University, Chongqing, China
Pages 4053-4064 | Received 18 Feb 2010, Accepted 25 Jun 2010, Published online: 26 Oct 2011

Citations (22)

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

Subscribe to citation updates

Read on this site (13)

Jibo Wu & B. M. Golam Kibria. (2023) A generalized difference-based mixed two-parameter estimator in partially linear model. Communications in Statistics - Theory and Methods 52:17, pages 6008-6017.
Read now
Jibo Wu. (2023) Efficiency of a generalized difference-based weighted mixed ridge estimator in partially linear model. Communications in Statistics - Theory and Methods 52:13, pages 4622-4635.
Read now
Muhammad Amin, Muhammad Qasim, Ahad Yasin & Muhammad Amanullah. (2022) Almost unbiased ridge estimator in the gamma regression model. Communications in Statistics - Simulation and Computation 51:7, pages 3830-3850.
Read now
Jibo Wu. (2022) Efficiency of the generalized restricted difference-based almost unbiased ridge estimator in partially linear model. Communications in Statistics - Theory and Methods 51:5, pages 1403-1412.
Read now
Jibo Wu. (2018) Improvement of generalized difference-based mixed Liu estimator in partially linear model. Communications in Statistics - Theory and Methods 47:18, pages 4433-4442.
Read now
Jibo Wu, Yasin Asar & Mohammad Arashi. (2018) On the restricted almost unbiased Liu estimator in the logistic regression model. Communications in Statistics - Theory and Methods 47:18, pages 4389-4401.
Read now
Jibo Wu. (2018) Performance of the difference-based Liu-type estimator in partially linear model. Communications in Statistics - Theory and Methods 47:12, pages 2979-2987.
Read now
Jibo Wu & Yasin Asar. (2017) A weighted stochastic restricted ridge estimator in partially linear model. Communications in Statistics - Theory and Methods 46:18, pages 9274-9283.
Read now
Jibo Wu & Yasin Asar. (2017) More on the restricted Liu estimator in the logistic regression model. Communications in Statistics - Simulation and Computation 46:5, pages 3680-3689.
Read now
Hua Huang, Jibo Wu & Wende Yi. (2017) On the restricted almost unbiased two-parameter estimator in linear regression model. Communications in Statistics - Theory and Methods 46:4, pages 1668-1678.
Read now
Chaolin Liu & Hu Yang. (2016) Positive-rule stein-type almost unbiased ridge estimator in linear regression model. Communications in Statistics - Theory and Methods 45:8, pages 2228-2255.
Read now
Jibo Wu. (2016) Modified Restricted Almost Unbiased Liu Estimator in Linear Regression Model. Communications in Statistics - Simulation and Computation 45:2, pages 689-700.
Read now
Jibo Wu & Hu Yang. (2014) On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model. Communications in Statistics - Simulation and Computation 43:2, pages 428-440.
Read now

Articles from other publishers (9)

Faiza Sami, Muhammad Amin, Muhammad Moeen Butt & Seyab Yasin. (2023) An Almost Unbiased Ridge Estimator for the Conway–Maxwell–Poisson Regression Model. Iranian Journal of Science.
Crossref
Tarek Mahmoud Omara. (2022) Almost unbiased modified ridge-type estimator: An application to tourism sector data in Egypt. Heliyon 8:9, pages e10684.
Crossref
Mohamed R. Abonazel & Issam Dawoud. (2022) Developing robust ridge estimators for Poisson regression model . Concurrency and Computation: Practice and Experience 34:15.
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
Jibo Wu & Yong Li. (2020) New Restricted Liu Estimator in a Partially Linear Model. Discrete Dynamics in Nature and Society 2020, pages 1-6.
Crossref
Yong Li & Jibo Wu. (2019) On the Performance of the r-k Class Estimator in Partial Linear Model. On the Performance of the r-k Class Estimator in Partial Linear Model.
Jibo Wu & Chaolin Liu. (2014) Performance of Some Stochastic Restricted Ridge Estimator in Linear Regression Model. Journal of Applied Mathematics 2014, pages 1-7.
Crossref
Chaolin Liu, Haina Jiang, Xinhui Shi & Donglin Liu. (2014) Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model. Journal of Applied Mathematics 2014, pages 1-10.
Crossref
Chaolin Liu, Hu Yang & Jibo Wu. (2013) On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression. Journal of Applied Mathematics 2013, pages 1-10.
Crossref

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:

Order Reprints Request Corporate Permissions

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:

Request Academic Permissions

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.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.