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作者 Kim, Jae Kwang, 1968- author
書名 Statistical methods for handling incomplete data / Jae Kwang Kim, Department of Statistics Iowa State University, USA, Jun Shao, Department of Statistics University of Wisconsin - Madison, USA
出版項 Boca Raton : CRC Press, Taylor & Francis Group, [2014]
國際標準書號 1439849633 (hardback : acid-free paper)
9781439849637 (hardback : acid-free paper)
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 統計所圖書館圖書區I  QA276.8 K55 2014    在架上    30570000133195
 歐美所圖書館3F西文書區  519.54 K5604 2014    到期 02-25-22  -  30500101495086
說明 xi, 211 pages ; 25 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
系列 A Chapman & Hall book
Chapman & Hall book
附註 Includes bibliographical references (pages 201-207) and index
Likelihood-based approach -- Computation -- Imputation -- Propensity scoring approach --Nonignorable missing data -- Longitudinal and clustered data -- Application to survey sampling -- Statistical matching
"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"-- Provided by publisher
主題 Missing observations (Statistics)
Multiple imputation (Statistics)
Alt Author Shao, Jun (Statistician)
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