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Articles

The modified Liu-ridge-type estimator: a new class of biased estimators to address multicollinearity

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Pages 6591-6609 | Received 02 Feb 2020, Accepted 01 Aug 2020, Published online: 01 Sep 2020

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Mustafa Nadhim Lattef & Mustafa I. Alheety. (2023) On modified unbiased two-parameter estimator. Communications in Statistics - Simulation and Computation 52:7, pages 2843-2864.
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Janet Iyabo IDOWU, Olasunkanmi James OLADAPO, Abiola Timothy OWOLABİ, Kayode AYİNDE & Oyinlade AKİNMOJU. (2023) Combating Multicollinearity: A New Two-Parameter ApproachÇoklu İç İlişki İle Mücadele: Yeni İki Parametre Yaklaşımı. Nicel Bilimler Dergisi 5:1, pages 90-116.
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Gladys Amos Shewa & Fidelis Ifeayi Ugwuowo. (2022) Kibria‐Lukman type estimator for gamma regression model . Concurrency and Computation: Practice and Experience 35:1.
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Tarek Mahmoud Omara. (2022) Almost unbiased modified ridge-type estimator: An application to tourism sector data in Egypt. Heliyon 8:9, pages e10684.
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Nimet Özbay, Gülesen Üstündağ Şiray, Selma Toker & İsmail Yenilmez. (2022) Two‐parameter estimation for Tobit model: An application to national health and nutrition examination survey dataset . Concurrency and Computation: Practice and Experience 34:18.
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Olatunde Adebayo Adeoti & Srinivasa Rao Gadde. (2021) Moving average control charts for the rayleigh and inverse rayleigh distributions under time truncated life test. Quality and Reliability Engineering International 37:8, pages 3552-3567.
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BENEDICTA Aladeitan, Adewale F Lukman, Esther Davids, Ebele H Oranye & Golam B M Kibria. (2021) Unbiased K-L estimator for the linear regression model. F1000Research 10, pages 832.
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Benedicta B. Aladeitan, Olukayode Adebimpe, Adewale F. Lukman, Olajumoke Oludoun & Oluwakemi E. Abiodun. (2021) Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation. F1000Research 10, pages 548.
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Benedicta B. Aladeitan, Olukayode Adebimpe, Adewale F. Lukman, Olajumoke Oludoun & Oluwakemi E. Abiodun. (2021) Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation. F1000Research 10, pages 548.
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