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Pitman optimality of covariance-improved estimators

Pitman optimality of covariance-improved estimators
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摘要 Letθbe a p×l parameter vector. Let T<sub>1</sub> and T<sub>2</sub> be two vector statistics of orders pand q such that E(T<sub>1</sub>) =θand E(T<sub>2</sub>)=0 and their Joint covariance matrix is given bywhere σ<sup>2</sup> is unknown, Σ is known positive definite matrix, denoted henceforth by Σ】0. It iswell known that T<sub>1</sub> is not uniformly minimum variance unbiased estimator if Σ<sub>1</sub>2≠0. Raosuggested a better estimator θ<sup>*</sup> = T<sub>1</sub>—Σ<sub>1</sub>2Σ<sub>2</sub>2<sup>1</sup>T<sup>2</sup>, called covariance-improved estimator
出处 《Chinese Science Bulletin》 SCIE EI CAS 1995年第14期1150-1154,共5页
基金 Project supported partially by the National Natural Science Foundation of China and the Beijing Natural Science Foundation.
关键词 Pitman CRITERION covariance-improved ESTIMATOR elliptically contoured distribution. PITMAN CRITERION COVARIANCE-IMPROVED ESTIMATOR ELLIPTICALLY CONTOURED DISTRIBUTION
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