An overview of model-robust regression

DOI10.1080/00949650008812013zbMath0970.62021OpenAlexW2073530080MaRDI QIDQ4504506

Jeffrey B. Birch, Richard L. Einsporn, James E. Mays

Publication date: 3 October 2001

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650008812013

zbMATH Keywords

mixingsemiparametricmodel misspecificationpartial linear regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Linear regression; mixed models (62J05)

Related Items (8)

A wavelet approach for profile monitoring of Poisson distribution with application ⋮ Model robust regression: combining parametric, nonparametric, and semiparametric methods ⋮ A semi-parametric approach to robust parameter design ⋮ Smoothing for small samples with model misspecification: Nonparametric and semiparametric concerns ⋮ A semi-parametric approach to dual modeling when no replication exists ⋮ In praise of partially interpretable predictors ⋮ Several nonparametric and semiparametric approaches to linear mixed model regression ⋮ Semi-parametric classification of noisy curves

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