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Item Details
Title:
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GENERALIZED LATENT VARIABLE MODELING
MULTILEVEL, LONGITUDINAL, AND STRUCTURAL EQUATION MODELS |
By: |
Anders Skrondal, Sophia Rabe-Hesketh |
Format: |
Electronic book text |
List price:
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£92.00 |
We believe that this item is permanently unavailable, and so we cannot source
it.
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ISBN 10: |
1135443351 |
ISBN 13: |
9781135443351 |
Publisher: |
TAYLOR & FRANCIS LTD |
Pub. date: |
11 May, 2004 |
Series: |
Chapman & Hall/CRC Interdisciplinary Statistics |
Pages: |
528 |
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. |
Illustrations: |
74 Tables, black and white; 62 Illustrations, black and white |
Publication: |
UK |
Imprint: |
Chapman and Hall |
Returns: |
Non-returnable |
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