Designs for discrimination between binary response models
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Publication:1100831
DOI10.1016/0378-3758(88)90050-XzbMath0641.62045MaRDI QIDQ1100831
Publication date: 1988
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
likelihood ratio statisticdiscriminationdegrees of freedomweighted residual sum of squaresincomplete gamma function rationon- central chi-squared distributionPearson's goodness of fit statisticunivariate binary response models
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
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- 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
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