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Chapman and Hall/CRC Interdisciplin ary Statistics Ser.: Generalized Latent...
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Item specifics
- Condition
- ISBN
- 9781584880004
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1584880007
ISBN-13
9781584880004
eBay Product ID (ePID)
2352796
Product Key Features
Number of Pages
528 Pages
Language
English
Publication Name
Generalized Latent Variable Modeling : Multilevel, Longitudinal, and Structural Equation Models
Subject
Probability & Statistics / General, General
Publication Year
2004
Type
Textbook
Subject Area
Mathematics
Series
Chapman and Hall/Crc Interdisciplinary Statistics Ser.
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
30.5 Oz
Item Length
9.6 in
Item Width
6.2 in
Additional Product Features
Intended Audience
College Audience
LCCN
2004-042808
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.535
Synopsis
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide range of estimation and prediction methods from biostatistics, psychometrics, econometrics, and statistics. They present exciting and realistic applications that demonstrate how researchers can use latent variable modeling to solve concrete problems in areas as diverse as medicine, economics, and psychology. The examples considered include many nonstandard response types, such as ordinal, nominal, count, and survival data. Joint modeling of mixed responses, such as survival and longitudinal data, is also illustrated. Numerous displays, figures, and graphs make the text vivid and easy to read. About the authors: Anders Skrondal is Professor and Chair in Social Statistics, Department of Statistics, London School of Economics, UK Sophia Rabe-Hesketh is a Professor of Educational Statistics at the Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, USA., Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain a wide range of estimation and prediction methods. Exciting, realistic applications demonstrate how latent variable modeling can be used to solve problems in areas as diverse as medicine, economics, and psychology. Numerous displays, figures, and graphs make the text vivid and easy to read.
LC Classification Number
QA278.6.S57 2004
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