The General Linear Model as a Framework for Models in Configural Frequency Analysis
作者:
Alexander Von Eye,
期刊:
Biometrical Journal
(WILEY Available online 1988)
卷期:
Volume 30,
issue 1
页码: 59-67
ISSN:0323-3847
年代: 1988
DOI:10.1002/bimj.4710300110
出版商: WILEY‐VCH Verlag
关键词: Configural frequency analysis;Least squares estimators;Maximum likelihood estimators;Models of CFA
数据来源: WILEY
摘要:
AbstractThe present paper discusses models of Configural Frequency Analysis (CFA). For most models of CFA maximum likelihood estimators are given. For all of these models least squares estimators are also given. These estimators are equivalent to each other if quasiparametric conditions prevail. Using the second approach, the general linear model can be used to systematize CFA models. Numerical examples are given, using both artificial and psychiatric data.
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