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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 16
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Original Articles

Application of shrinkage estimation in linear regression models with autoregressive errors

T. ThomsonDepartment of Mathematics and Statistics, University of Winnipeg, Winnipeg, Canada
,
S. HossainDepartment of Mathematics and Statistics, University of Winnipeg, Winnipeg, Canada
&
M. GhahramaniDepartment of Mathematics and Statistics, University of Winnipeg, Winnipeg, CanadaCorrespondence[email protected]
Pages 3335-3351 | Received 10 Oct 2013, Accepted 26 Sep 2014, Published online: 21 Oct 2014

Citations (9)

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Read on this site (5)

S. S. Pandher, S. Hossain, K. Budsaba & A. Volodin. (2022) Efficient estimation method for generalized ARFIMA models. Communications in Statistics - Theory and Methods 0:0, pages 1-23.
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Yoonsuh Jung. (2020) Optimal regression parameter-specific shrinkage by plug-in estimation. Communications in Statistics - Theory and Methods 49:18, pages 4490-4505.
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Yuzhu Tian, Manlai Tang, Liyong Wang & Maozai Tian. (2019) Bayesian bridge-randomized penalized quantile regression estimation for linear regression model with AP(q) perturbation. Journal of Statistical Computation and Simulation 89:15, pages 2951-2979.
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Le An Lac & Shakhawat Hossain. (2018) Non-penalty shrinkage estimation of random effect models for longitudinal data with AR(1) errors. Journal of Statistical Computation and Simulation 88:16, pages 3230-3247.
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M. Norouzirad, S. Hossain & M. Arashi. (2018) Shrinkage and penalized estimators in weighted least absolute deviations regression models. Journal of Statistical Computation and Simulation 88:8, pages 1557-1575.
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Articles from other publishers (4)

T. Thomson & S. Hossain. (2018) Efficient Shrinkage for Generalized Linear Mixed Models Under Linear Restrictions. Sankhya A 80:2, pages 385-410.
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Shakhawat Hossain, Trevor Thomson & Ejaz Ahmed. (2018) Shrinkage estimation in linear mixed models for longitudinal data. Metrika 81:5, pages 569-586.
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T. Thomson, S. Hossain & M. Ghahramani. (2016) Efficient estimation for time series following generalized linear models. Australian & New Zealand Journal of Statistics 58:4, pages 493-513.
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Haibin Liao, Li Li, Youbin Chen & Ruolin Ruan. 2016. Pattern Recognition. Pattern Recognition 299 311 .

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