日本統計学会誌
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
PARTIAL GAUSS-NEWTON ALGORITHM FOR LEAST-SQUARES AND MAXIMUM LIKELIHOOD METHODS IN FACTOR ANALYSIS
Masashi OkamotoMasamori Ihara
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ジャーナル フリー

1984 年 14 巻 2 号 p. 137-144

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抄録
An algorithm for both least-squares and maximum likelihood methods in exploratory factor analysis is presented. It replaces the Newton-Raphson method used in Jöreskog's algorithm by the Gauss-Newton method recommended by Lee and Jennrich for confirmatory factor analysis. It is shown to work well in practice.
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© Japan Statistical Society
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