Statistical Factor Analysis and Related Methods. Theory and Applications. Wiley Series in Probability and Statistics

  • ID: 2175705
  • Book
  • 768 Pages
  • John Wiley and Sons Ltd
1 of 4
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
Note: Product cover images may vary from those shown
2 of 4
Preliminaries.

Matrixes, Vector Spaces.

The Ordinary Principal Components Model.

Statistical Testing of the Ordinary Principal Components Model.

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.
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
Alexander T. Basilevsky
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
Order Online - visit: https://www.researchandmarkets.com/reports/2175705
Adroll
adroll