A semi-parametric approach to dual modeling when no replication exists

DOI10.1016/J.JSPI.2010.03.009zbMath1191.62058OpenAlexW1991429859MaRDI QIDQ984645

Jeffrey B. Birch, B. Alden Starnes, Timothy J. Robinson

Publication date: 20 July 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.03.009

zbMATH Keywords

robustnessmixingmodel mis-specificationasymptotic convergencevariance modeling

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (5)

Dose-Response Curve Estimation: A Semiparametric Mixture Approach ⋮ A semiparametric nonlinear mixed model approach to phase I profile monitoring ⋮ Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation ⋮ Global sensitivity analysis of stochastic computer models with joint metamodels ⋮ Several nonparametric and semiparametric approaches to linear mixed model regression

Uses Software

• GLIM
• SemiPar

Cites Work

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• Dispersion Effects from Fractional Designs
• Measures of Lack of Fit for Response Surface Designs and Predictor Variable Transformations
• Local Polynomial Variance-Function Estimation
• A note on combining parametric and non-parametric regression
• Semiparametric Regression
• An overview of model-robust regression
• Model misspecification in parametric dual modeling

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