Missing data analysis in practice / Trivellore Raghunathan, University of Michigan, Ann Arbor, Michigan, USA.
Material type:
TextSeries: Interdisciplinary statisticsPublisher: Boca Raton, Florida : CRC Press, [2016]Copyright date: ©2016Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780429171673Subject(s): Missing observations (Statistics)DDC classification: 519.5 LOC classification: QA276 | .R34 2016Online resources: Click here to view.
Contents:
1. Basic concepts -- 2. Weighting methods -- 3. Imputation -- 4. Multiple imputation -- 5. Regression analysis -- 6. Longitudinal analysis with missing values -- 7. Nonignorable missing data mechanisms -- 8. Other applications -- 9. Other topics.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Central University Of Rajasthan | Available |
A Chapman and Hall book--title page.
1. Basic concepts -- 2. Weighting methods -- 3. Imputation -- 4. Multiple imputation -- 5. Regression analysis -- 6. Longitudinal analysis with missing values -- 7. Nonignorable missing data mechanisms -- 8. Other applications -- 9. Other topics.
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