Optimal experimental design criterion for discriminating semiparametric models

DOI10.1016/j.jspi.2008.03.027zbMath1394.62104OpenAlexW1966589755MaRDI QIDQ951081

Taisuke Otsu

Publication date: 29 October 2008

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.2008.03.027

zbMATH Keywords

semiparametric modelconvex dualityoptimal experimental design

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Optimal statistical designs (62K05)

Related Items (2)

Construction of some compound criteria via A-optimality ⋮ Optimal designs for both model discrimination and parameter estimation

Cites Work

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• Empirical likelihood in some semiparametric models
• Model-oriented design of experiments
• Techniques of variational analysis
• Empirical likelihood ratio confidence intervals for a single functional
• Duality Relationships for Entropy-Like Minimization Problems
• The design of experiments for discriminating between two rival models
• Partially-Finite Programming in $L_1 $ and the Existence of Maximum Entropy Estimates
• An Optimal Experimental Design Criterion for Discriminating Between Non-Normal Models
• On Information and Sufficiency

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