A bayesian approach to the analysis of split-plot combined and product arrays and optimization in robust parameter design.

A bayesian approach to the analysis of split-plot combined and product arrays and optimization in robust parameter design.

Many robust parameter design (RPD) studies involve a split-plot randomization structure and it is essential to account for the induced correlation structure to obtain valid inferences in the analysis. Bayesian methods are appealing for these studies because they naturally accommodate a general class...

全面介绍

书目详细资料
发表在:Journal of Quality Technology 44, 4 (2012).
主要作者: Robinson, Timothy J.
格式: 文件
语言:English
主题:
Bayesian predictive density.
Generalized linear mixed models.
Hard to change factor.
Markov chain monte carlo.
Process optimization.
Response Surface.
Restricted randomization.