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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.
Series: A Chapman & Hall bookPublisher: Boca Raton : CRC Press, Taylor & Francis Group, 2014Copyright date: ©2014.Description: xi, 211 pages : illustrations ; 25 cmContent type:- text
- unmediated
- volume
- 9781439849637
Contents:
Likelihood-based approach -- Computation -- Imputation -- Propensity scoring approach --Nonignorable missing data -- Longitudinal and clustered data -- Application to survey sampling -- Statistical matching.
| Item type | Current library | Home library | Call number | Materials specified | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| AM | PERPUSTAKAAN TUN SERI LANANG | PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) | QA276.8.K535 (Browse shelf(Opens below)) | 1 | Available | 00002142560 |
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| QA276.8.H35 Statistical methods for social scientists/ | QA276.8.H554 Methods of statistical model estimation / | QA276.8.H554 Methods of statistical model estimation / | QA276.8.K535 Statistical methods for handling incomplete data / | QA276.8.L43 Theory of point estimation/ | QA276.8.M46 Lessons in digital estimation theory / | QA276.8.M559 Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB / |
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.
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