CAPACITY CONSIDERATIONS FOR 2-LEVEL FRACTIONAL FACTORIAL-DESIGNS

被引：20

作者：

DRAPER, NR

LIN, DKJ

机构：

[1] UNIV WISCONSIN,DEPT STAT,MADISON,WI 53706

[2] UNIV TORONTO,DEPT STAT,TORONTO M5S 1A1,ONTARIO,CANADA

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1990年 / 24卷 / 01期

基金：

美国国家科学基金会;

关键词：

maximum resolution; minimum two-level design; Most two-level factors;

D O I：

10.1016/0378-3758(90)90014-L

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：

This paper tackles the following question: For a two-level experimental design with a given number, N = 2q, of runs and a specified resolution R, what is the maximum number, k, of factors that can be accomodated? This problem is intimately connected with other problems that have been extensively studied by previous authors. Prior results are summarized, explained, and extended. © 1990.

引用

页码：25 / 35

页数：11

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