Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models

Anders Skrondal

ISBN 10: 1584880007 / ISBN 13: 9781584880004

Edité par Chapman and Hall/CRC, 2004

A propos de cet article

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

N° de réf. du vendeur 000683250U

Détails bibliographiques

• Titre: Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2004
• Langue: anglais
• ISBN à 10 chiffres: 1584880007
• ISBN à 13 chiffres: 9781584880004
• Reliure: hardcover
• Édition: 1st Edition.
• État de l'article: Good

A propos de ce titre

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.

À propos de l?auteur

Anders Skrondal, Sophia Rabe-Hesketh