Statistical Methods for Handling Incomplete Data

✍ Scribed by Kim, Jae Kwang; Shao, Jun

Publisher: CRC Press
Year: 2013
Tongue: English
Leaves: 221
Series: Chapman & Hall book
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

""... this book nicely blends the theoretical material and its application through examples, and will be of interest to students and researchers as a textbook or a reference book. Extensive coverage of recent advances in handling missing data provides resources and guidelines for researchers and practitioners in implementing the methods in new settings. ... I plan to use this as a textbook for my teaching

✦ Table of Contents

Content: Front Cover
Contents
Preface
List of Tables
Chapter 1: Introduction
Chapter 2: Likelihood-based approach
Chapter 3: Computation
Chapter 4: Imputation
Chapter 5: Propensity scoring approach
Chapter 6: Nonignorable missing data
Chapter 7: Longitudinal and clustered data
Chapter 8: Application to survey sampling
Chapter 9: Statistical matching
Bibliography
Back Cover

✦ Subjects

Missing observations (Statistics). Multiple imputation (Statistics).

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