OPTIMAL MIXTURE CHOICE FOR BINARY RESPONSE MODELS

被引：0

作者：

DUNSMORE, IR ^{[1
]}

WARD, NJ ^{[1
]}

机构：

[1] UNIV SHEFFIELD, DEPT PROBABIL & STAT, SHEFFIELD S10 2UN, ENGLAND

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN | 1993年 / 42卷 / 02期

关键词：

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Cain and Price (1986) developed a new formulation of the problem of mixture design which maximized the probability that a test response exceeded a threshold value subject to a cost constraint in a normal linear regression model. A method is presented here which develops binary response models for such situations and which allows a simple procedure for maximizing the probability of exceeding threshold values in several tests simultaneously. The methods are illustrated for an oil-blending problem in lubricant design.

引用

页码：145 / 152

页数：8

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