Statistical Methods for Handling Incomplete Data

✍ Scribed by Kim, Jae Kwang; Shao, Jun

• Publisher: CRC Press
• Year: 2013
• Tongue: English
• Leaves: 221
• Category: Library

✦ 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 and highly recommend it.""
-Biometrics, September 2014

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Abstract:

""... 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 and highly recommend it.""
-Biometrics, September 2014

✦ 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

Математика;Теория вероятностей и математическая статистика;Математическая статистика;