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On estimating the slope of a straight line when both variables are subject to error

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Publication:1259877
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DOI10.1214/aos/1176344565zbMath0412.62048OpenAlexW2073823570MaRDI QIDQ1259877

Clifford Spiegelman

Publication date: 1979

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176344565


zbMATH Keywords

parameter estimationerrors in variableslinear regressionmoment generating function approach


Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05)


Related Items (8)

Semiparametric random coefficient regression models ⋮ ``Waiting for life to arrive: a history of the regression-discontinuity design in psychology, statistics and economics ⋮ LARGE SAMPLE ANALYSIS OF AUTOREGRESSIVE MOVING-AVERAGE MODELS WITH ERRORS IN VARIABLES ⋮ A simple estimator for nonlinear error in variable models ⋮ Inference in components of variance models with low replication ⋮ Minimum distance estimation of the errors-in-variables model using linear cumulant equations ⋮ Direction of dependence in measurement error models ⋮ IDENTIFICATION OF LINEAR REGRESSIONS WITH ERRORS IN ALL VARIABLES




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