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Imputation of missing values using density estimation

Author

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  • Titterington, D. M.
  • Sedransk, J.

Abstract

The paper proposes the use of density estimation, based on respondents' data, for imputing values for nonrespondents. Multiple imputations are catered for and the procedure is assessed on the basis of estimation of the underlying density itself. Extension to Rubin's version of multiple imputations is described.

Suggested Citation

  • Titterington, D. M. & Sedransk, J., 1989. "Imputation of missing values using density estimation," Statistics & Probability Letters, Elsevier, vol. 8(5), pages 411-418, October.
    • Handle: RePEc:eee:stapro:v:8:y:1989:i:5:p:411-418
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    Cited by:

    1. Minh Hung Ho & Amélie Ponchet Durupt & Hai Canh Vu & Nassim Boudaoud & Arnaud Caracciolo & Sophie Sieg-Zieba & Yun Xu & Patrick Leduc, 2023. "Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production," Mathematics, MDPI, vol. 11(22), pages 1-24, November.

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