Statistical Methods for Handling Incomplete Data - Tapa blanda

Kim, Jae Kwang; Shao, Jun

 
9781032118130: Statistical Methods for Handling Incomplete Data

Sinopsis

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.

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Acerca del autor

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.

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Otras ediciones populares con el mismo título

9780367280543: Statistical Methods for Handling Incomplete Data

Edición Destacada

ISBN 10:  036728054X ISBN 13:  9780367280543
Editorial: Chapman and Hall/CRC, 2021
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