Wiley Series in Probability and Statistics Ser.: Statistical Factor Analysis and

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Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
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β€œVery good to fine grade”
ISBN
9780471570820
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471570826
ISBN-13
9780471570820
eBay Product ID (ePID)
102907011

Product Key Features

Number of Pages
768 Pages
Publication Name
Statistical Factor Analysis and Related Methods : Theory and Applications
Language
English
Subject
Probability & Statistics / General
Publication Year
1994
Type
Textbook
Subject Area
Mathematics
Author
Alexander T. Basilevsky
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1.7 in
Item Weight
38.5 Oz
Item Length
9.6 in
Item Width
6.3 in

Additional Product Features

Edition Number
1
Intended Audience
Scholarly & Professional
LCCN
93-002323
Dewey Edition
20
Series Volume Number
232
Illustrated
Yes
Dewey Decimal
519.5354
Table Of Content
Preliminaries. Matrixes, Vector Spaces. The Ordinary Principal Components Model. Statistical Testing of the Ordinary Principal ComponentsModel. Extensions of the Ordinary Principal Components Model. Factor Analysis. Factor Analysis of Correlated Observations. Ordinal and Nominal Random Data. Other Models for Discrete Data. Factor Analysis and Least Squares Regression. Exercises. References. Index.
Synopsis
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, 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., 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 including time series, spatial data, rank orders, and nominalvariable * Applications of factor models to the estimation of functionalforms and to least squares of regression estimators, 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 including time series, spatial data, rank orders, and nominalvariable * Applications of factor models to the estimation of functionalforms and to least squares of regression estimators

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    🌟🌟🌟🌟🌟 seller. ***Excellent packaging***. Exactly what was in the photos. Arrived two days early πŸ™Œ Fantastic valueπŸ₯³. 4 books from 1902, individually wrapped with clear plastic wrap and a ziplock bag respectively, for protection against moisture and the elements πŸ™Œ additional paper padding providing a cushioned barrier on all sides. Thank you!
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    The Seller is commendable for delivering the book almost THREE WEEKS ahead of schedule. The book is also in perfect condition exactly as advertised. In which case the Seller and Product are flawless. However, the delivery Courier was a complete let down . Such that I only discovered that the book had been dropped on my doorstep by Providence or chance. Apart from the email I received, the Courier did not make any contact with me through the street level buzzer or press my doorbell to alert me.
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