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Statistical Methods for Handling Incomplete Data

TaschenbuchKartoniert, Paperback
380 Seiten
Englisch
Taylor & Franciserschienen am29.01.20242. Aufl.
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.mehr
Verfügbare Formate
BuchGebunden
EUR141,50
TaschenbuchKartoniert, Paperback
EUR58,50
E-BookEPUB0 - No protectionE-Book
EUR62,49
E-BookPDF0 - No protectionE-Book
EUR62,49

Produkt

KlappentextDue 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.
Details
ISBN/GTIN978-1-032-11813-0
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2024
Erscheinungsdatum29.01.2024
Auflage2. Aufl.
Seiten380 Seiten
SpracheEnglisch
Gewicht553 g
Illustrationen6 SW-Abb., 6 SW-Zeichn., 28 Tabellen
Artikel-Nr.13051009

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction2. Likelihood-based Approach3. Computation4. Imputation5. Multiple Imputation6. Fractional Imputation7. Propensity Scoring Approach8. Nonignorable Missing Data9. Longitudinal and Clustered Data10. Application to Survey Sampling11. Data Integration12. Advanced Topicsmehr
Kritik
"As a general comment, I must say that it is probably one of the most extensive, detailed and complete sources of information on the most up-to-date methods to deal with missing data, from simple imputation methods to more complex analysis techniques that take missingness into account. The book is well organized in 12 chapters that although could be read independently based on the readers needs/interest, it does have a hierarchy that makes sense going from more simple early chapters to more complex subjects later in the book."
~David Manteigas, ISCB Book Reviewsmehr

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.