Comparison of Least Squares and Errors-in-Variables Regression, With Special Reference to Randomized Analysis of Covariance

DOI10.2307/2288556zbMath0582.62063OpenAlexW4235563278MaRDI QIDQ3704760

Paul P. Gallo, Raymond J. Carroll, Leon Jay Gleser

Publication date: 1985

Full work available at URL: https://doi.org/10.2307/2288556

zbMATH Keywords

linear combinationmeasurement errorasymptotic theoryfunctional modelsstructural modelsleast squares estimateerrors-in-variables regression modelrandomized two-group analysis of covariance

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (8)

Estimation of the variance matrix in bivariate classical measurement error models ⋮ A UNIVARIATE MEASUREMENT ERROR MODEL FOR LONGITUDINAL CHANGE ⋮ Rank transformations when oovariables are measured with error or mismodelled ⋮ On choosing estimators'in a simple linear errors-in-variables model ⋮ Measurement error and ANCOVA: Functional and structural relationship approaches ⋮ Reverse attenuation in interaction terms due to covariate measurement error ⋮ On predicting the population total under regression models with measurement errors ⋮ ANOCOVA models with measurement errors

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