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A Journal of Theoretical and Applied Statistics
Volume 52, 2018 - Issue 6
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Original Articles

A new difference-based weighted mixed Liu estimator in partially linear models

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Pages 1309-1327 | Received 06 Apr 2017, Accepted 22 Feb 2018, Published online: 29 Aug 2018

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Read on this site (5)

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.
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Hadi Emami & Korosh Arzideh. (2023) Robust ridge estimator in censored semiparametric linear models. Communications in Statistics - Theory and Methods 52:17, pages 5989-6007.
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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.
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Fikri Akdeniz, Mahdi Roozbeh, Esra Akdeniz & Naushad Mamode Khan. (2022) Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models. Communications in Statistics - Theory and Methods 51:13, pages 4395-4416.
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Hadi Emami & Kourosh Dadkhah. (2022) Robust restricted Liu estimator in censored semiparametric linear models. Journal of Statistical Computation and Simulation 92:9, pages 1851-1876.
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Articles from other publishers (5)

Zakariya Yahya Algamal & Mohamed R. Abonazel. (2021) Developing a Liu‐type estimator in beta regression model . Concurrency and Computation: Practice and Experience 34:5.
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Mahdi Roozbeh. 2022. Innovations in Multivariate Statistical Modeling. Innovations in Multivariate Statistical Modeling 361 381 .
Muhammad Nauman Akram, Muhammad Amin & Muhammad Amanullah. (2021) James Stein Estimator for the Inverse Gaussian Regression Model. Iranian Journal of Science and Technology, Transactions A: Science 45:4, pages 1389-1403.
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Jibo Wu & Yong Li. (2020) New Restricted Liu Estimator in a Partially Linear Model. Discrete Dynamics in Nature and Society 2020, pages 1-6.
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Mohammad Arashi & Toktam Valizadeh. 2020. Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. Proceedings of the Thirteenth International Conference on Management Science and Engineering Management 387 400 .

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