Scaled density models for binary response data and their \(D\)- and \(D_s\)-optimal designs

DOI10.1016/J.JSPI.2003.12.001zbMath1089.62091OpenAlexW1973474098MaRDI QIDQ707076

Yukio Yanagisawa

Publication date: 9 February 2005

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.2003.12.001

zbMATH Keywords

Normal distribution\(D_s\)-optimum design\(D\)-optimum designBinary dataLogistic distributionScaled density models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Related Items (1)

Order statistics in the Farey sequences in sublinear time and counting primitive lattice points in polygons

Cites Work

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• Designs for discrimination between binary response models
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• Designs for Discrimination Between Bivariate Binary Response Models
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• Some extremal problems in designing discriminating experiments
• A class of parametric models for the analysis of square contingency tables with ordered categories
• Optimum Allocation in Linear Regression Theory
• Locally Optimal Designs for Estimating Parameters
• Optimal designs for binary data under logistic regression

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