TY  - BOOK
AU  - Kim,Jae Kwang
AU  - Shao,Jun
TI  - Statistical methods for handling incomplete data
SN  - 9781439849637 (hardback : acidfree paper)
U1  - 000SA.1 23
PY  - 2014///
CY  - Boca Raton
PB  - CRC Press
KW  - Missing observations (Statistics)
KW  - Multiple imputation (Statistics)
KW  - MATHEMATICS / Probability & Statistics / General
N1  - Includes bibliographical references (pages 201-207) and index; 1. Introduction--
2. Likelihood-based approach --
3. Computation --
4. Imputation --
5. Propensity scoring approach --
6. Nonignorable missing data --
7. Longitudinal and clustered data --
8. Application to survey sampling --
9. Statistical matching--

Bibliography--
Index
N2  - "With the advances in statistical computing, there has been a rapid development of techniques and applications in missing data analysis. This book aims to cover the most up-to-date statistical theories and computational methods for analyzing incomplete data through (1)vigorous treatment of statistical theories on likelihood-based inference with missing data, (2) comprehensive treatment of computational techniques and theories on imputation, and (3) most up-to-date treatment of methodologies involving propensity score weighting, nonignorable missing, longitudinal missing, survey sampling application, and statistical matching. The book is suitable for use as a textbook for a graduate course in statistics departments or as a reference book for those interested in this area. Some of the research ideas introduced in the book can be developed further for specific applications"--
ER  -