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Books on the topic 'Data imputation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Sarah, Dipko, Urban Institute, Westat inc, Assessing the New Federalism (Program), and Child Trends Incorporated, eds. 1997 NSAF data editing and imputation. Urban Institute, 1999.

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2

van Buuren, Stef. Flexible Imputation of Missing Data, Second Edition. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9780429492259.

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3

de Waal, Ton, Jeroen Pannekoek, and Sander Scholtus. Handbook of Statistical Data Editing and Imputation. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470904848.

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4

Teegavarapu, Ramesh S. V. Imputation Methods for Missing Hydrometeorological Data Estimation. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60946-6.

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5

1951-, Pannekoek Jeroen, and Scholtus Sander 1983-, eds. Handbook of statistical data editing and imputation. Wiley, 2011.

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6

Schreuder, Hans T. Data estimation and prediction for natural resources public data. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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7

M, Reich Robin, and Rocky Mountain Research Station (Fort Collins, Colo.), eds. Data estimation and prediction for natural resources public data. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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8

Carpenter, James R. Multiple imputation and its application. John Wiley & Sons, 2013.

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9

Boxhill, Walton O. 1981 shelter cost data: Editing and imputation strategies. Minister of Supply and Services Canada, 1985.

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10

(Statistician), Shao Jun, ed. Statistical methods for handling incomplete data. CRC Press, Taylor & Francis Group, 2014.

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11

Perritt, Kara R. Overview and evaluation of AGGIES, an automated edit and imputation system. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Research and Development Division, 2000.

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12

Yanez, Karina Gabriela Diaz. Multiple Imputation for Handling Missing Data of Covariates in Meta-Regression. [publisher not identified], 2021.

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13

Marwala, Tshilidzi. Computational intelligence for missing data imputation, estimation and management: Knowledge optimization techniques. Information Science Reference, 2009.

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14

Drechsler, Jörg. Synthetic datasets for statistical disclosure control: Theory and implementation. Springer, 2011.

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15

van Buuren, Stef. Flexible Imputation of Missing Data. Chapman and Hall/CRC, 2012. http://dx.doi.org/10.1201/b11826.

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16

Buuren, Stef van. Flexible Imputation of Missing Data. Taylor & Francis Group, 2012.

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17

Harel, Ofer. Multiple Imputation in Data Analysis. Taylor & Francis Group, 2023.

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18

Buuren, Stef Van. Flexible Imputation of Missing Data. Taylor & Francis Group, 2012.

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19

Flexible imputation of missing data. CRC Press, 2012.

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20

Zhang, Guangyu, Yulei He, and Chiu-Hsieh Hsu. Multiple Imputation Analysis for Observational Data. Taylor & Francis Group, 2021.

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21

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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22

Multiple Imputation of Missing Data Using SAS. SAS Institute, 2014.

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23

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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24

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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25

Pannekoek, Jeroen, Sander Scholtus, and Ton De Waal. Handbook of Statistical Data Editing and Imputation. Wiley & Sons, Incorporated, John, 2011.

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26

Buuren, Stef van. Flexible Imputation of Missing Data Second Edition. Taylor & Francis Group, 2021.

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27

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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28

Desai, Tejas. Analysis of Randomly Incomplete Data Without Imputation. Springer London, Limited, 2013.

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29

Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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30

Imputation Methods for Missing Hydrometeorological Data Estimation. Springer International Publishing AG, 2024.

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31

Quartagno, Matteo, Angela Wood, Jonathan Bartlett, Tim Morris, and James R. Carpenter. Multiple Imputation and Its Application. Wiley & Sons, Limited, John, 2022.

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32

Quartagno, Matteo, Angela Wood, Jonathan Bartlett, Tim Morris, and James R. Carpenter. Multiple Imputation and Its Application. Wiley & Sons, Incorporated, John, 2022.

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33

Quartagno, Matteo, Angela Wood, Jonathan Bartlett, Tim Morris, and James R. Carpenter. Multiple Imputation and Its Application. Wiley & Sons, Limited, John, 2022.

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34

Quartagno, Matteo, Angela Wood, Jonathan Bartlett, Tim Morris, and James R. Carpenter. Multiple Imputation and Its Application. Wiley & Sons, Incorporated, John, 2022.

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35

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2013.

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36

Statistical Methods for Handling Incomplete Data. CRC Press LLC, 2013.

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37

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2021.

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38

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2013.

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39

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2021.

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40

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2013.

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41

Shao, Jun, and Jae Kwang Kim. Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2021.

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42

Statistical Methods for Handling Incomplete Data. Taylor & Francis Group, 2021.

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43

Statistical Methods for Handling Incomplete Data. CRC Press LLC, 2024.

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44

Zhang, Paul. Multiple imputation of missing data in clinical trials. 2001.

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45

Berglund, Patricia, and Steven Heeringa. Multiple Imputation of Missing Data Using SAS (Hardcover Edition). SAS Institute, 2014.

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46

Analysis of Integrated Data. Taylor & Francis Group, 2019.

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47

Chambers, Raymond L., and Li-Chun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2019.

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48

Chambers, Raymond L., and Lichun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2021.

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49

Chambers, Raymond L., and Li-Chun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2019.

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50

Zhang, Guangyu, Yulei He, and Chiu-Hsieh Hsu. Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies. Taylor & Francis Group, 2021.

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