Handbook of latent variable and related models
Sik-Yum Lee
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.
年:
2007
出版:
1st ed
出版社:
Elsevier
语言:
english
页:
458
ISBN 10:
0444520449
ISBN 13:
9780444520449
系列:
Handbook of computing and statistics with applications 1
文件:
PDF, 2.48 MB
IPFS:
,
english, 2007