Imputation for Skewed Data: Multivariate Lomax Case
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s13571-021-00251-4.pdf
Reference27 articles.
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3. Dempster, A.P., Laird, N.M. and Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Series B (Methodological) 39, 1–38. Available from: https://doi.org/10.1111/j.2517-6161.1977.tb01600.x.
4. Gower, J.C. (1971). A general coefficient of similarity and some of its properties. Biometrics 27, 857–871. Available from: https://doi.org/10.2307/2528823.
5. He, Y. and Raghunathan, T.E. (2006). Tukey’s gh distribution for multiple imputation. Amer. Stat. 60, 251–256. Available from: https://doi.org/10.1198/000313006X126819https://doi.org/10.1198/000313006X126819.
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1. A general approach for imputation of non-normal continuous data based on copula transformation;Communications in Statistics - Simulation and Computation;2022-02-21
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