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ESTIMATION OF A SUBSET OF REGRESSION COEFFICIENTS OF INTEREST IN A MODEL WITH NON-SPHERICAL DISTURBANCES

ESTIMATION OF A SUBSET OF REGRESSION COEFFICIENTS OF INTEREST IN A MODEL WITH NON-SPHERICAL DISTURBANCES
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摘要 This paper considers the estimation of a subset of regression coefficients in a linear regression model with non-spherical disturbances,when other regression coefficients are of no interest.A family of estimators is considered and its asymptotic distribution is derived.This proposed family of improved estimators is compared with the usual unrestricted FGLS estimator,and dominance conditions are obtained with respect to risk under quadratic loss as well as the Pitman nearness criterion.The results of a numerical simulation are presented to illustrate the risk performance of various estimators.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2013年第2期209-231,共23页 系统科学与复杂性学报(英文版)
基金 the financial support from CSIR to carry on the present work
关键词 Large sample asymptotic minimum mean square error non-spherical disturbances pitman nearness criterion quadratic loss risk. GLS估计 线性回归模型 回归系数 非球面 干扰 子集 渐近分布 二次损失
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