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Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function

Anoop Chaturvedi () and Shalabh

Journal of Multivariate Analysis, 2004, vol. 90, issue 2, 229-256

Abstract: In this article, a family of feasible generalized double k-class estimator in a linear regression model with non-spherical disturbances is considered. The performance of this estimator is judged with feasible generalized least-squares and feasible generalized Stein-rule estimators under balanced loss function using the criteria of quadratic risk and general Pitman closeness. A Monte-Carlo study investigates the finite sample properties of several estimators arising from the family of feasible double k-class estimators.

Keywords: Linear; regression; model; Balanced; loss; function; Pitman; closeness; Double; k-class; estimator (search for similar items in EconPapers)
Date: 2004
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