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Original Articles

On the Principal Component Liu-type Estimator in Linear Regression

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Pages 2061-2072 | Received 06 Apr 2013, Accepted 15 Aug 2013, Published online: 12 May 2015

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Read on this site (3)

Gülesen Üstündağ Şiray, Selma Toker & Nimet Özbay. (2021) Defining a two-parameter estimator: a mathematical programming evidence. Journal of Statistical Computation and Simulation 91:11, pages 2133-2152.
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M. Revan Özkale. (2019) The r – d class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses. Journal of Statistical Computation and Simulation 89:4, pages 615-640.
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Rasha A. Farghali, Adewale F. Lukman & Ayodeji Ogunleye. Enhancing model predictions through the fusion of stein estimator and principal component regression. Journal of Statistical Computation and Simulation 0:0, pages 1-16.
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Articles from other publishers (4)

Issam Dawoud, Mohamed R. Abonazel & Fuad A. Awwad. (2022) Modified Liu estimator to address the multicollinearity problem in regression models: A new biased estimation class. Scientific African 17, pages e01372.
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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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Özge Kuran. (2021) The 𝑟-𝑑 class predictions in linear mixed models. Journal of Inverse and Ill-posed Problems 29:4, pages 477-498.
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Atıf ABBASI & Revan ÖZKALE. (2021) The r-k class estimator in generalized linear models applicable with simulation and empirical study using a Poisson and Gamma responses. Hacettepe Journal of Mathematics and Statistics 50:2, pages 594-611.
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