A Bayesian estimator of the optimum for a single factor quadratic response model

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题名:	A Bayesian estimator of the optimum for a single factor quadratic response model
作者:	Fan,TH;Karson,MJ;Wang,HS
贡献者:	統計研究所
关键词:	INFERENCE
日期:	1996
上传时间:	2010-06-29 19:33:51 (UTC+8)
出版者:	中央大學
摘要:	Estimation of the location and magnitude of the optimum has long been considered an important problem in response surface methodology. In the industrial context, prior information accumulated by the subject matter specialist bears special significance. In this paper we use the Bayesian approach to estimating the optimum in a single factor quadratic regression model. Following the Bayesian general linear model development by Broemeling the normal/gamma conjugate prior is used. Explicit formulas for the generalized maximum likehood estimates of the characteristic parameters are obtained from the joint posterior distribution.
關聯:	BIOMETRICAL JOURNAL
显示于类别:	[統計研究所] 期刊論文

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