Robust response surface design for quantitative and qualitative factors

被引：12

作者：

Aggarwal, ML ^{[1
]}

Bansal, A ^{[1
]}

机构：

[1] Univ Delhi, Dept Stat, Delhi 110007, India

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1998年 / 27卷 / 01期

关键词：

response surface design; combined array; robust parameter design; central composite design;

D O I：

10.1080/03610929808832652

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

Wu and Ding (1991) have given a systematic method for constructing the response surface designs for qualitative and quantitative factors when all the quantitative factors are controllable. In most of the experiments all the quantitative factors are not controllable some of them are uncontrollable or noise factors. In this paper we have given a method for constructing designs involving qualitative and quantitative factors using the technique given by Wu and Ding (1991) when the quantitative factors are divided into controllable and uncontrollable factors. We have also applied dual response surface optimization technique given by Lin and Tu (1995) to find the optimal setting for a set of design variables involving qualitative and quantitative factors.

引用

页码：89 / 106

页数：18

共 15 条

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[2]

DESIGN OF EXPERIMENTS AND REGRESSION [J].