The efficiency of adjusted least squares in the linear functional relationship

[摘要] A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is considered. The measurement error variance is supposed to be known, while the variance of errors in the equation is unknown. In this model a risk bound of asymptotic minimax type for arbitrary estimators is established. The bound lies above that one which was found previously in the case of both variances known. The bound is attained by an adjusted least-squares estimators. (C) 2003 Elsevier Inc. All rights reserved.

[发布日期] 2003-11-01

[关键词] adjusted least-squares estimator;asymptotic efficiency;Gaussian errors;Hajek bound;linear functional errors-in-variables model