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Alexander T. Basilevsky - Statistical Factor Analysis and Related Methods - 9780471570820 - V9780471570820
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Statistical Factor Analysis and Related Methods

€ 175.12
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Description for Statistical Factor Analysis and Related Methods Hardcover. The purpose of this work is to provide a unified treatment of both the theory and practice of factor analysis and latent variables models. Series: Wiley Series in Probability and Statistics. Num Pages: 768 pages, Ill. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 164 x 48. Weight in Grams: 1256.
Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models. It focuses on such areasas:
* The classical principal components model and sample-populationinference
* Several extensions and modifications of principal components,including Q and three-mode analysis and principal components in thecomplex domain
* Maximum likelihood and weighted factor models, factoridentification, factor rotation, and the estimation of factorscores
* The use of factor models in conjunction with various types ofdata ... Read more

Product Details

Format
Hardback
Publication date
1994
Publisher
John Wiley & Sons Inc United States
Number of pages
768
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
768
Place of Publication
, United States
ISBN
9780471570820
SKU
V9780471570820
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Alexander T. Basilevsky
About the author ALEXANDER BASILEVSKY is Professor of Mathematics and Statistics at the University of Winnipeg. He frequently serves as a professional consultant to both government and industry. In addition to numerous scholarly papers and government reports, Professor Basilevsky is the author of Applied Matrix Algebra in Statistical Sciences and coauthor of An Analysis of the U.S. Income Maintenance Experiments. ... Read more

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