Statistical Methods for Handling Incomplete Data - Couverture souple

Kim, Jae Kwang; Shao, Jun

Couverture souple

ISBN 10 : 103211813X ISBN 13 : 9781032118130

Editeur : Chapman & Hall/CRC, 2024

Synopsis

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. This book covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.

A propos du livre

À propos de l?auteur

Jae Kwang Kim is a LAS dean's professor in the Department of Statistics at Iowa State University. He is a fellow of American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He is the recipient of 2015 Gertude M. Cox award, sponsored by Washington Statistical Society and RTI international.

Jun Shao is a professor in the Department of Statistics at University of Wisconsin - Madison. He is a fellow of ASA and IMS, a former president of International Chinese Statistical Association and currently the founding editor of Statistical Theory and Related Fields.

Détails de l'édition

• Éditeur: Chapman & Hall/CRC
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 103211813X
• ISBN 13: 9781032118130
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 380
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne