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A note on the simple structural regression model
Authors:R B Arellano-Valle  H Bolfarine
Institution:(1) Departamento de Estatística, IME, Universidade de São Paulo, Caixa Postal 20570, CEP 05389-970 São Paulo, SP, Brasil
Abstract:In this paper we investigate some aspects like estimation and hypothesis testing in the simple structural regression model with measurement errors. Use is made of orthogonal parametrizations obtained in the literature. Emphasis is placed on some properties of the maximum likelihood estimators and also on the distribution of the likelihood ratio statistics.
Keywords:Bartlett correction factors  information matrix  likelihood ratio statistics  maximum likelihood estimator  orthogonal parametrization  structural normal model
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