A SIMPLE METHOD TO IDENTIFY SIGNIFICANT EFFECTS IN UNREPLICATED 2-LEVEL FACTORIAL-DESIGNS

被引：17

作者：

JUAN, J ^{[1
]}

PENA, D ^{[1
]}

机构：

[1] UNIV POLITECN MADRID,ESTADIST LAB,E-28006 MADRID,SPAIN

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1992年 / 21卷 / 05期

关键词：

FACTORIAL FRACTIONS; ROBUST ESTIMATOR;

D O I：

10.1080/03610929208830854

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 article proposes a generalitation and improvement on the method of Lenth (1989). The problem is solved by fixing outliers in highly contaminated samples. To do this a scale robust estimator is obtained and its performance is analyzed using computer simulations. The method is extremely simple to use and leads to the same results as the more complex one proposed by Box and Meyer(1986).

引用

页码：1383 / 1403

页数：21

共 15 条

[1] USE OF A NORMALITY TEST TO IDENTIFY SIGNIFICANT EFFECTS IN FACTORIAL-DESIGNS [J].