Statistical Methods for Handling Incomplete Data

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.

Author: Jae Kwang Kim, Jun Shao
Publisher: CRC Press
Published: 01/29/2024
Pages: 380
Binding Type: Paperback
Weight: 1.18lbs
Size: 9.21h x 6.14w x 0.79d
ISBN: 9781032118130

About the Author

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.