Two-Way Analysis of Variance for Interval-Valued Data

被引：0
|
作者：
Nakama, Takehiko [1 ]
Colubi, Ana [2 ]
Lubiano, M. Asuncion [2 ]
机构：
[1] European Ctr Soft Comp, Edificio Cient Technol, Mieres 33600, Spain
[2] Univ Oviedo, Dept Estadist, I O & D M, E-33007 Oviedo, Spain
来源：
COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS | 2010年 / 77卷
关键词：
FUZZY RANDOM-VARIABLES; BOOTSTRAP TECHNIQUES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We establish two-way analysis of variance (ANOVA) for interval-valued data. Each observation is assumed to be a compact convex interval, and the two-way ANOVA determines whether to reject null hypotheses about the effects of two factors on the observed intervals. The Minkowski support function is used to obtain a metric for intervals and to transform them to Hilbert-space-valued functions. We derive test statistics that are appropriate for testing the null hypotheses, and we develop a bootstrap scheme for approximating the p-values of the observed test statistics.
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收藏
页码：475 / +
页数：3
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