Note on a modified Faber-Kowalski F-test for abstract factor analysis

被引：0
|
作者：
Faber, NM
机构：
[1] NL-2806 JB Gouda
[2] Department of Veterinary Anatomy and Physiology, Utrecht University, NL-3508 TD Utrecht
来源：
JOURNAL OF CHEMOMETRICS | 2000年 / 14卷 / 04期
关键词：
abstract factor analysis; pseudorank estimation; F-test; degrees of freedom; heteroscedasticity; data pre-treatment;
D O I：
10.1002/1099-128X(200007/08)14:4<371::AID-CEM597>3.0.CO;2-R
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Two major drawbacks of a recently proposed F-test for abstract factor analysis (AFA) are discussed. First, heteroscedasticity in the data is not handled by a proper data pre-treatment. Second, negative F-values and associated degrees of freedom are encountered. It is proposed to pre-treat the data prior to AFA. Copyright (C) 2000 John Wiley & Sons, Ltd.
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页码：371 / 374
页数：4
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