Models for Intensive Longitudinal Data - Rilegato

Rilegato

ISBN 10: 0195173449 ISBN 13: 9780195173444

Casa editrice: OUP USA, 2006

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: OUP USA
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0195173449
• ISBN 13: 9780195173444
• Rilegatura: Copertina rigida
• Numero di pagine: 320
• Redattore: Walls Theodore A., Schafer Joseph L.
• Contatto del produttore: Messaggerie Libri; ufficio.anagrafiche@meli.it; ; Via Verdi, 8.; Assago Milano; 20090; Italia