Null intercept measurement error regression models

• Autores: Julio Singer, Reiko Aoki, Heleno Bolfarine
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 10, Nº. 2, 2001, págs. 441-457
• Idioma: inglés
• DOI: 10.1007/bf02595707
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• Resumen

  • We consider measurement error regression models with null intercepts for the analysis of pretest/posttest repeated measurements data. The within sample units correlation structure is induced by a mixed model adopted for the true values of the covariate. We indicate how maximum likelihood estimators of the regression parameters may be calculated and derive their asymptotic distribution. The proposed procedures are numerically illustrated with data previously analyzed in the literature via classical regression techniques