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Statistical factor analysis and related methods: Theory and...

Statistical factor analysis and related methods: Theory and applications

Alexander T. Basilevsky
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Statistical Factor Analysis and Related Methods Theory and Applications In bridging the gap between the mathematical and statistical theory of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models. It focuses on such areas as:
  • The classical principal components model and sample-population inference
  • Several extensions and modifications of principal components, including Q and three-mode analysis and principal components in the complex domain
  • Maximum likelihood and weighted factor models, factor identification, factor rotation, and the estimation of factor scores
  • The use of factor models in conjunction with various types of data including time series, spatial data, rank orders, and nominal variable
  • Applications of factor models to the estimation of functional forms and to least squares of regression estimators
种类:
年:
1994
出版:
1
出版社:
Wiley-Interscience
语言:
english
页:
755
ISBN 10:
0471570826
ISBN 13:
9780471570820
文件:
DJVU, 6.93 MB
IPFS:
CID , CID Blake2b
english, 1994
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