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A new estimator of the uniqueness in factor analysis
Authors:Masamori Ihara  Yutaka Kano
Institution:(1) Osaka Electro-Communication University, 18-8 Hatsumachi, 572 Neyagawa city, Japan;(2) Marine Technical College, Japan
Abstract:A closed form estimator of the uniqueness (unique variance) in factor analysis is proposed. It has analytically desirable properties—consistency, asymptotic normality and scale invariance. The estimation procedure is given through the application to the two sets of Emmett's data and Holzinger and Swineford's data. The new estimator is shown to lead to values rather close to the maximum likelihood estimator.
Keywords:asymptotic normality  consistency  factor analysis  maximum likelihood estimator  scale invariance  uniqueness
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