Handbook of latent variable and related models
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spect...
Main Author: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Amsterdam
Elsevier/North-Holland
2007, 2007
|
Edition: | 1st ed |
Series: | Handbook of computing and statistics with applications
|
Subjects: | |
Online Access: | |
Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
Summary: | This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques |
---|---|
Physical Description: | xxii, 435 pages illustrations |
ISBN: | 0444520449 9780444520449 9780080471266 |