Estimation of a subset of regression coefficients of interest in a model with non-spherical disturbances
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[1] Alan T. K. Wan,et al. SEPARATE VERSUS SYSTEM METHODS OF STEIN-RULE ESTIMATION IN SEEMINGLY UNRELATED REGRESSION MODELS , 2002 .
[2] K. Ohtani. Minimum mean squared error estimation of each individual coefficient in a linear regression model , 1997 .
[3] V. K. Srivastava,et al. Pitman closeness for Stein-rule estimators of regression coefficients , 1993 .
[4] Guohua Zou,et al. Estimation of regression coefficients of interest when other regression coefficients are of no interest: The case of non-normal errors , 2007 .
[5] Dai-Gyoung Kim,et al. Bayesian inference and model selection in latent class logit models with parameter constraints: An application to market segmentation , 2003 .
[6] Alan T. K. Wan,et al. Unbiased estimation of the MSE matrices of improved estimators in linear regression , 2003 .
[7] C. Stein,et al. Estimation with Quadratic Loss , 1992 .
[8] C. Stein. Inadmissibility of the Usual Estimator for the Mean of a Multivariate Normal Distribution , 1956 .
[9] Shalabh,et al. Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function , 2004 .
[10] The Stein paradox in the pitman closeness , 1987 .
[11] Alan T. K. Wan,et al. On the Sampling Performance of an Improved Stein Inequality Restricted Estimator , 1998 .
[12] K. Ohtani. Exact small sample properties of an operational variant of the minimum mean squared error estimator , 1996 .
[13] P. Sen,et al. The Stein Paradox in the Sense of the Pitman Measure of Closeness , 1989 .
[14] Xinyu Zhang,et al. Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market , 2011, Comput. Stat. Data Anal..
[15] C. R. Rao,et al. The pitman nearness criterion and its determination , 1986 .
[16] Aman Ullah,et al. Double k-Class Estimators of Coefficients in Linear Regression , 1978 .
[17] Alan T. K. Wan,et al. Minimum mean-squared error estimation in linear regression with an inequality constraint , 2000 .
[18] R. W. Farebrother,et al. The statistical implications of pre-test and Stein-rule estimators in econometrics , 1978 .
[19] S. Peddada. A short note on Pitman's measure of nearness , 1985 .
[20] R. Khattree,et al. A short note on pitman nearness for elliptically symmetric estimators , 1987 .
[21] Kurt Hoffmann,et al. Stein estimation—A review , 2000 .
[22] G. Judge,et al. Chapter 10 Biased estimation , 1983 .
[24] Alan T. K. Wan,et al. STEIN-RULE RESTRICTED REGRESSION ESTIMATOR IN A LINEAR REGRESSION MODEL WITH NONSPHERICAL DISTURBANCES , 2001 .
[25] Stein‐Rule Estimation in Mixed Regression Models , 2000 .
[26] J. Neyman,et al. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability , 1963 .
[27] K. Ohtani. On an adjustment of degrees of freedom in the minimim mean squared error ertimator , 1996 .
[28] Alan T. K. Wan,et al. Improved Estimators of Hedonic Housing Price Models , 2006 .
[29] Rand R. Wilcox,et al. The statistical implications of pre-test and Stein-rule estimators in econometrics , 1978 .
[30] Kazuhiro Ohtani,et al. MSE performance of a heterogeneous pre-test estimator , 1999 .
[31] Stein-type improved estimation of standard error under asymmetric LINEX loss function , 2009 .
[32] Jan R. Magnus,et al. On the harm that ignoring pretesting can cause , 2004 .
[33] James Durbin,et al. Estimation of Regression Coefficients of Interest when Other Regression Coefficients are of no Interest , 1999 .
[34] Alan T. K. Wan,et al. Double k -class estimators in regression models with non-spherical disturbances , 2001 .
[35] H. Theil. Principles of econometrics , 1971 .
[36] R. Khattree,et al. On Pitman Nearness and variance of estimators , 1986 .
[37] A. Chaturvedi,et al. STEIN RULE ESTIMATION IN LINEAR MODEL WITH NONSCALAR ERROR COVARIANCE MATRIX , 1990 .
[38] A. Baranchik. Inadmissibility of Maximum Likelihood Estimators in Some Multiple Regression Problems with Three or More Independent Variables , 1973 .
[39] Thomas J. Rothenberg,et al. APPROXIMATE NORMALITY OF GENERALIZED LEAST SQUARES ESTIMATES , 1984 .
[40] Xinyu Zhang,et al. Robustness of Stein-type estimators under a non-scalar error covariance structure , 2009, J. Multivar. Anal..
[41] Alan T. K. Wan,et al. Operational Variants of the Minimum Mean Squared Error Estimator in Linear Regression Models with Non-Spherical Disturbances , 2000 .
[42] Alan T. K. Wan. The Non-Optimality of Interval Restricted and Pre-Test Estimators Under Squared Error Loss , 1994 .
[43] J. Neyman,et al. INADMISSIBILITY OF THE USUAL ESTIMATOR FOR THE MEAN OF A MULTIVARIATE NORMAL DISTRIBUTION , 2005 .