INFORMATIONAL ENERGY IN THE SEQUENTIAL DESIGN OF EXPERIMENTS IN A BAYESIAN CONTEXT

被引：1
|
作者：
PARDO, L [1 ]
MENENDEZ, ML [1 ]
机构：
[1] UNIV POLITECN MADRID,ETS ARQUITECTURA,DEPT MATEMAT APL,E-28040 MADRID,SPAIN
来源：
INFORMATION SCIENCES | 1992年 / 64卷 / 03期
关键词：
D O I：
10.1016/0020-0255(92)90104-G
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
On the basis of the theory of informational energy (Onicescu, [3]), a sequential selection method of a fixed number of experiments is presented. This work is based on the method developed by DeGroot [1] with uncertainty functions, where finite as well as infinite parameter problems are considered.
引用
收藏
页码：271 / 283
页数：13
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