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Non-parametric analysis of a generalized regression model: The maximum rank correlation estimator

โœ Scribed by Aaron K. Han


Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
763 KB
Volume
35
Category
Article
ISSN
0304-4076

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This paper investigates the efficiencies of several generalized least squares estimators (GLSEs) in terms of the covariance matrix. Two models are analyzed: a seemingly unrelated regression model and a heteroscedastic model. In both models, we define a class of unbiased GLSEs and show that their cov