Contemporary Robust Optimal Design Strategies

DOI10.1007/978-3-319-73241-1_11zbMath1397.62277OpenAlexW2786950398MaRDI QIDQ4689256

Timothy E. O'Brien

Publication date: 15 October 2018

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-73241-1_11

zbMATH Keywords

goodness-of-fitexperimental designbinary logistic modelgeneralized nonlinear modelinglack-of-fit robustness

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Cites Work

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• Curvature measures for nonlinear regression models using continuous designs with applications to optimal experimental design
• General equivalence theory for optimum designs (approximate theory)
• A nonsequential design procedure for parameter estimation and model discrimination in nonlinear regression models
• The Equivalence of Two Extremum Problems
• A Quadratic Design Criterion for Precise Estimation in Nonlinear Regression Models
• Marginal Curvatures and Their Usefulness in the Analysis of Nonlinear Regression Models
• Optimality criteria for regression models based on predicted variance
• Some Robust-Type D-Optimal Designs in Polynomial Regression
• Planning experiments to detect inadequate regression models
• An extension of the General Equivalence Theorem to nonlinear models

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