Dealing with missing data: Part II

Authors
Beata Walczak and D. Luc Massart
Published
2001
DOI
10.1016/S0169-7439(01)00132-0
Citation
Walczak and Massart: "Dealing with missing data: Part II", Chemometrics and Intelligent Laboratory Systems, 58, 29-42, 2001.
Abstract
The main concepts of the maximum likelihood (ML) approach in dealing with missing data are introduced and simple numerical examples of the application of ML are presented. Differences between ML and other techniques of treating missing data are illustrated. The idea of multiple imputation (MI) approach is presented and illustrated as well.
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