Identifiability of logistic regression with homoscedastic error: Berkson model

Identifiability of logistic regression with homoscedastic error: Berkson model

We consider the Berkson model of logistic regression with Gaussian and homoscedastic error in regressor. The measurement error variance can be either known or unknown. We deal with both functional and structural cases. Sufficient conditions for identifiability of regression coefficients are presente...

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Bibliographic Details
Main Author: Sergiy Shklyar
Format: Article
Language:English
Published: VTeX 2015-07-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Logistic regression
binary regression
errors in variables
Berkson model
regression calibration model
Online Access:https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA27

Internet

https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA27

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