Models For Intensive Longitudinal Data - Couverture rigide

Couverture rigide

ISBN 10 : 0195173449 ISBN 13 : 9780195173444

Editeur : Oxford University Press Inc, 2006

Synopsis

A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists.

A propos du livre

À propos de l'auteur

Theodore A. Walls, Ph.D., is Professor of Psychology at the University of Rhode Island. As a research scientist at The Methodology Center at The Pennsylvania State University, Dr. Walls developed methods for the analysis of intensive longitudinal data and convened the international study group whose work led to the publication of this volume. His current work is focused on the development of models reflecting dynamic intraindividual processes.
Joseph L. Schafer, Ph.D., is Associate Professor of Statistics and an Investigator at The Methodology Center at The Pennsylvania State University. Dr. Schafer has developed techniques for analyzing incomplete data and incorporating missing-data uncertainty into statistical inference. His areas of research also include latent-class and latent transition analysis, nonsampling errors in surveys and censuses, strategies for statistical computing and software development, and statistical methods for casual inference.

Détails de l'édition

• Éditeur: Oxford University Press Inc
• Date d'édition: 2006
• Langue: anglais
• ISBN 10: 0195173449
• ISBN 13: 9780195173444
• Reliure: Relié
• Nombre de pages: 320
• Éditeur: Walls Theodore A., Schafer Joseph L.
• Coordonnées du fabricant: non disponible
• Personne responsable: Ufficio Anagrafiche Messaggerie; ufficio.anagrafiche@meli.it; ; Via Verdi, 8; Assago Milano; 20090; Italie