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Journal Article
Imputation for Skewed Data
2021
Overview
Most multiple imputation methods for multivariate missing data have been developed for normally distributed data. However, methods may not be suitable for nonnegative and/or highly skewed data. We propose an approach by using Expectation-Maximization (EM) method based on the assumption of multivariate Lomax distribution on non-negative skewed data. Extensive simulations show that this proposed method outperforms the regular normality-based EM and k-nearest-neighbor (kNN) imputation methods under the missing completely at random (MCAR) mechanism. An application on a real-world biomedical data is then provided.
Publisher
Springer Science + Business Media,Springer India
Subject
