Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Statistical Factor Analysis and Related Methods - Alexander T. Basilevsky

Statistical Factor Analysis and Related Methods

Theory and Applications
Buch | Hardcover
768 Seiten
1994
Wiley-Interscience (Verlag)
978-0-471-57082-0 (ISBN)
CHF 235,10 inkl. MwSt
The purpose of this work is to provide a unified treatment of both the theory and practice of factor analysis and latent variables 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

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. He is a member of the Canadian Statistical Association, the American Statistical Association, and the Statistical Association of Manitoba, of which he is former president-at-large. Professor Basilevsky received his PhD in statistics/econometrics from the University of Southampton, England.

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.

Erscheint lt. Verlag 28.6.1994
Reihe/Serie Wiley Series in Probability and Statistics
Sprache englisch
Maße 161 x 244 mm
Gewicht 1089 g
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 0-471-57082-6 / 0471570826
ISBN-13 978-0-471-57082-0 / 9780471570820
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Weg zur Datenanalyse

von Ludwig Fahrmeir; Christian Heumann; Rita Künstler …

Buch | Softcover (2024)
Springer Spektrum (Verlag)
CHF 69,95
Eine Einführung für Wirtschafts- und Sozialwissenschaftler

von Günter Bamberg; Franz Baur; Michael Krapp

Buch | Softcover (2022)
De Gruyter Oldenbourg (Verlag)
CHF 41,90