Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching

Kleinke K (2017)
Journal of Educational and Behavioral Statistics 42(4): 371-404.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Erscheinungsjahr
2017
Zeitschriftentitel
Journal of Educational and Behavioral Statistics
Band
42
Ausgabe
4
Seite(n)
371-404
Page URI
https://pub.uni-bielefeld.de/record/2909160

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Kleinke K. Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics. 2017;42(4):371-404.
Kleinke, K. (2017). Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics, 42(4), 371-404. doi:10.3102/1076998616687084
Kleinke, K. (2017). Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics 42, 371-404.
Kleinke, K., 2017. Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics, 42(4), p 371-404.
K. Kleinke, “Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching”, Journal of Educational and Behavioral Statistics, vol. 42, 2017, pp. 371-404.
Kleinke, K.: Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics. 42, 371-404 (2017).
Kleinke, Kristian. “Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching”. Journal of Educational and Behavioral Statistics 42.4 (2017): 371-404.