Binary Regression with Stochastic Covariates

DOI10.1080/03610920600637123zbMath1120.62053OpenAlexW2048299481MaRDI QIDQ3424170

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Publication date: 15 February 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920600637123

zbMATH Keywords

order statisticslogistic regressionmodified maximum likelihoodnon-normalitybinary datastochastic covariate

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (13)

Long-tailed graphical model and frequentist inference of the model parameters for biological networks ⋮ Modeling binary responses with stochastic covariates ⋮ Robust ratio and product based estimators using known auxiliary information through modified maximum likelihood ⋮ Multiple linear regression model with stochastic design variables ⋮ Robust estimation in multiple linear regression model with non-Gaussian noise ⋮ Mahalanobis distance under non-normality ⋮ Estimation and hypothesis testing in BIB design and robustness ⋮ A robust alternative to the ratio estimator under non-normality ⋮ MMLEs are as good as M-estimators or better ⋮ A robust unbiased dual to product estimator for population mean through modified maximum likelihood in simple random sampling ⋮ Autoregressive models with short-tailed symmetric distributions ⋮ Estimation in bivariate nonnormal distributions with stochastic variance functions ⋮ A note on the paper by Ahmed Hossain and Andrew R. Willan

Uses Software

• GLIM

Cites Work

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