Bayesian approach for the design and analysis of a two level factorial experiment in the presence of dispersion effects

DOI10.1080/03610929608831776zbMath0900.62156OpenAlexW1988433353MaRDI QIDQ4337203

Raymond H. Myers, Darcy P. Mays

Publication date: 12 November 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831776

zbMATH Keywords

likelihoodinformation matrixasymptoticweighted least squaresBayesianposterior densityfactorial designdispersion effectsprior densityintegrated variance optimality

Mathematics Subject Classification ID

Bayesian inference (62F15) Factorial statistical designs (62K15)

Related Items (2)

Bayesian application to the two-stage near-saturated experimental design method with dispersion effects ⋮ Two-stage central composite designs with dispersion effects

Uses Software

• GLIM

Cites Work

• Diagnostics for heteroscedasticity in regression
• k-statistics and dispersion effects in regression
• Optimal Bayesian design applied to logistic regression experiments
• Optimum Designs in Regression Problems
• A Simplex Method for Function Minimization
• Unnamed Item

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