COMPARISON OF EXPERIMENTAL-DESIGNS COMBINING PROCESS AND MIXTURE VARIABLES .2. DESIGN EVALUATION ON MEASURED DATA

被引：6

作者：

DUINEVELD, CAA

SMILDE, AK

DOORNBOS, DA

机构：

[1] Research Group Chemometrics, University Centre for Pharmacy, University of Groningen, 9713 AW Groningen

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1993年 / 19卷 / 03期

关键词：

D O I：

10.1016/0169-7439(93)80030-L

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The construction of a small experimental design for a combination of process and mixture variables is a problem which has not been solved completely by now. In a previous paper we evaluated some designs with theoretical measures. This second paper evaluates the capabilities of the best of these designs in a practical application. For this purpose, data are obtained from a pharmaceutical problem according to these designs. The model selection on the basis of the small designs is compared with model selection on the basis of an extra data set. The prediction errors of the small designs are estimated using a test set.

引用

页码：309 / 318

页数：10

共 12 条

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[4] COMPARISON OF EXPERIMENTAL-DESIGNS COMBINING PROCESS AND MIXTURE VARIABLES .2. DESIGN EVALUATION ON MEASURED DATA [J].