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Original Articles

The exact risk performance of a pre-test estimator in a heteroskedastic linear regression model under the balanced loss function

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Pages 119-130 | Published online: 03 Apr 2007

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Read on this site (4)

Nimet Özbay & Selahattin Kaçıranlar. (2017) The performance of the adaptive optimal estimator under the extended balanced loss function. Communications in Statistics - Theory and Methods 46:22, pages 11315-11326.
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J. Coetsee, A. Bekker & S. Millard. (2014) Preliminary test and Bayes Estimation of a Location Parameter Under Blinex Loss. Communications in Statistics - Theory and Methods 43:17, pages 3641-3660.
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M. Roozbeh, M. Arashi & H. A. Niroumand. (2011) Ridge regression methodology in partial linear models with correlated errors. Journal of Statistical Computation and Simulation 81:4, pages 517-528.
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Shalabh, H. Toutenburg & C. Heumann. (2009) Stein-rule estimation under an extended balanced loss function. Journal of Statistical Computation and Simulation 79:10, pages 1259-1273.
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Articles from other publishers (12)

Buatikan Mirezi & Selahattin Kaçıranlar. (2022) Admissible linear estimators in the general Gauss–Markov model under generalized extended balanced loss function. Statistical Papers 64:1, pages 73-92.
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Guikai Hu & Jinguan Lin. (2019) Performance of Preliminary Test Estimators for Error Variance Based on W, LR and LM Tests. Journal of Systems Science and Complexity 33:4, pages 1200-1211.
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Selahattin Kaçıranlar & Issam Dawoud. (2019) The optimal extended balanced loss function estimators. Journal of Computational and Applied Mathematics 345, pages 86-98.
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Guikai Hu, Qingguo Li & Shenghua Yu. (2014) Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate Errors under Balanced Loss Function . Journal of Applied Mathematics 2014, pages 1-7.
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Guikai Hu & Ping Peng. (2012) Matrix linear minimax estimators in a general multivariate linear model under a balanced loss function. Journal of Multivariate Analysis 111, pages 286-295.
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Guikai Hu, Qingguo Li & Ping Peng. (2012) Minimax estimator of regression coefficient in normal distribution under balanced loss function. Linear Algebra and its Applications 436:5, pages 1228-1237.
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Guikai Hu & Ping Peng. (2011) All admissible linear estimators of a regression coefficient under a balanced loss function. Journal of Multivariate Analysis 102:8, pages 1217-1224.
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Guikai Hu & Ping Peng. (2010) Admissibility for linear estimators of regression coefficient in a general Gauss–Markoff model under balanced loss function. Journal of Statistical Planning and Inference 140:11, pages 3365-3375.
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Alan T.K. Wan, Guohua Zou & Kazuhiro Ohtani. (2006) Further results on optimal critical values of pre‐test when estimating the regression error variance. The Econometrics Journal 9:1, pages 159-176.
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H. Toutenburg & Shalabh. (2005) Estimation of regression coefficients subject to exact linear restrictions when some observations are missing and quadratic error balanced loss function is used. TEST 14:2, pages 385-396.
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Anoop Chaturvedi & Shalabh. (2004) Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function. Journal of Multivariate Analysis 90:2, pages 229-256.
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Aman Ullah, Alan Wan & Anoop ChaturvediJudith Giles, John Galbraith, Victoria Zinde-Walsh, Anoop Chaturvedi, Alan Wan, Guohua Zou, Xavie Chee Hoong Yew, Michael Mcaleer, Shiqing Ling, Koichi Maekawa & Hiroyuki Hisamatsu. 2002. Handbook Of Applied Econometrics And Statistical Inference. Handbook Of Applied Econometrics And Statistical Inference.

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