Locally D -optimal designs for spline measurement error models with estimated knots

DOI10.1080/03610926.2022.2161823MaRDI QIDQ6549218

Rong-Xian Yue, Xueping Chen, Min-Jue Zhang

Publication date: 3 June 2024

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

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• General equivalence theory for optimum designs (approximate theory)
• A practical guide to splines
• E-optimal designs for polynomial spline regression
• Optimal designs for homoscedastic functional polynomial measurement error models
• Locally \(D\)-optimal designs for heteroscedastic polynomial measurement error models
• Particle Swarm Optimization
• ALL-BIAS DESIGNS FOR POLYNOMIAL SPLINE REGRESSION MODELS
• Locally optimal designs for errors-in-variables models
• Measurement Error
• Experimental Designs for Fitting Segmented Polynomial Regression Models
• Bayesian D‐optimal designs for error‐in‐variables models
• Measurement Error in Nonlinear Models

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