Journal
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume 232, Issue 2, Pages 305-317Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cam.2009.06.011
Keywords
Auxiliary information; Imputation method; Inclusion probabilities; Variance; Response mechanism; Quantile
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Funding
- CICE (Junta de Andalucia) [SEJ565]
- Ministerio de Educacion y Ciencia [MTM200604809]
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The problem of missing values commonly arises in data sets, and imputation is usually employed to compensate for non-response. We propose a novel imputation method based on quantiles, which can be implemented with or without the presence of auxiliary information. The proposed method is extended to unequal sampling designs and non-uniform response mechanisms. Iterative algorithms to compute the proposed imputation methods are presented. Monte Carlo simulations are conducted to assess the performance of the proposed imputation methods with respect to alternative imputation methods. Simulation results indicate that the proposed methods perform competitively in terms of relative bias and relative root mean square error. (C) 2009 Elsevier B.V. All rights reserved.
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