Title of article
Dealing with missing data: Part II
Author/Authors
Walczak، نويسنده , , B. and Massart، نويسنده , , D.L.، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2001
Pages
14
From page
29
To page
42
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.
Keywords
Maximum likelihood , multiple imputation , Missing data
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2001
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1460447
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