Orthogonality of the mean and error distribution in generalized linear models

DOI10.1080/03610926.2013.851241zbMath1368.62215arXiv1606.01604OpenAlexW3104886613WikidataQ55136099 ScholiaQ55136099MaRDI QIDQ4976210

Paul J. Rathouz, Alan Huang

Publication date: 27 July 2017

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

Full work available at URL: https://arxiv.org/abs/1606.01604

zbMATH Keywords

semiparametric modelregression modelnuisance tangent space

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (4)

Smooth tests of goodness of fit for the distributional assumption of regression models ⋮ Generalized case‐control sampling under generalized linear models ⋮ A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models ⋮ Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts

Cites Work

• Semiparametric theory and missing data.
• INTERPRETATION OF THE QUASI-LIKELIHOOD VIA THE TILTED EXPONENTIAL FAMILY
• Parameter Orthogonality and Bias Adjustment for Estimating Functions
• Unnamed Item

This page was built for publication: Orthogonality of the mean and error distribution in generalized linear models