The identification of logistic regression models with errors in the variables

DOI10.1007/BF02926017zbMath0817.62058MaRDI QIDQ1805534

Helmut Küchenhoff

Publication date: 19 June 1995

Published in: Statistical Papers (Search for Journal in Brave)

zbMATH Keywords

errors in variablesidentifiabilitymultiple logistic regression modelnormal measurement errornormal regressorsingle logistic regression model

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (5)

Inversion-free subsampling Newton's method for large sample logistic regression ⋮ Identifiability of logistic regression with homoscedastic error: Berkson model ⋮ Some recent advances in measurement error models and methods ⋮ EIV regression with bounded errors in data: total `least squares' with Chebyshev norm ⋮ Logistic regression with homoscedastic errors—A Berkson model

Cites Work

• On errors-in-variables for binary regression models

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