Designs for discrimination between binary response models

DOI10.1016/0378-3758(88)90050-XzbMath0641.62045MaRDI QIDQ1100831

Yukio Yanagisawa

Publication date: 1988

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

zbMATH Keywords

likelihood ratio statisticdiscriminationdegrees of freedomweighted residual sum of squaresincomplete gamma function rationon- central chi-squared distributionPearson's goodness of fit statisticunivariate binary response models

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) General nonlinear regression (62J02)

Related Items (3)

Robust designs for probability estimation in binary response experiments ⋮ Discrimination between two binary data models: sequentially designed experiments ⋮ Scaled density models for binary response data and their \(D\)- and \(D_s\)-optimal designs

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Experimental Design: Review and Comment
• On two families of transformations to additivity for binary response data
• The design of experiments for discriminating between two rival models
• A Review of Experimental Design Procedures for Regression Model Discrimination
• Some extremal problems in designing discriminating experiments
• Optimum Allocation in Linear Regression Theory
• Locally Optimal Designs for Estimating Parameters

This page was built for publication: Designs for discrimination between binary response models