Pseudo-Bayesian \(A\)-optimal designs for estimating the point of maximum in component-amount Darroch-Waller mixture model

DOI10.1016/j.spl.2012.02.011zbMath1310.62095OpenAlexW2033469315MaRDI QIDQ426693

Manisha Pal, Nripes Kumar Mandal, Manohar L. Aggarwal

Publication date: 11 June 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.02.011

zbMATH Keywords

asymptotic efficiencyA-optimal designDarroch-Waller modelmixture experimentnonlinear parametric function

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Design of statistical experiments (62K99)

Related Items

Bayesian information in an experiment and the Fisher information distance

Cites Work

• General equivalence theory for optimum designs (approximate theory)
• Kiefer ordering of simplex designs for first- and second-degree mixture models
• Experiments with mixtures: Optimal allocations for Becker's models
• Optimal designs for mixture amount experiments
• Minimax designs for optimum mixtures
• Optimum designs for optimum mixtures
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• Optimum Designs in Regression Problems, II
• Optimum Mixture Design Using Deficiency Criterion
• Additivity and interaction in three-component experiments with mixtures
• Models for Mixture Experiments When the Response Depends on the Total Amount
• Comparison of Simplex Designs for Quadratic Mixture Models
• Optimum designs for estimation of optimum point under cost constraint
• Optimal and Efficient Designs of Experiments
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item