Logistic regression with homoscedastic errors—A Berkson model

DOI10.1090/S0094-9000-2013-00883-7zbMath1294.62163OpenAlexW2046499946MaRDI QIDQ2849287

Sergiy Shklyar

Publication date: 17 September 2013

Published in: Theory of Probability and Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1090/s0094-9000-2013-00883-7

zbMATH Keywords

logistic regressionbinary regressionBerkson modelregression calibration modelmodels with errors in variables

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12)

Related Items (1)

Identifiability of logistic regression with homoscedastic error: Berkson model

Uses Software

• goodwin.f77

Cites Work

• Unnamed Item
• The identification of logistic regression models with errors in the variables
• [https://portal.mardi4nfdi.de/wiki/Publication:3204019 The Evaluation of Integrals of the Form � +∞ -∞ f(t)exp(- t 2 ) dt: Application to Logistic-Normal Models]
• On Errors-in-Variables in Binary Regression-Berkson Case
• On errors-in-variables for binary regression models
• Measurement Error in Nonlinear Models

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