Eight. Multivariate Imputation

  1. Ton de Waal,
  2. Jeroen Pannekoek and
  3. Sander Scholtus

Published Online: 4 APR 2011

DOI: 10.1002/9780470904848.ch8

Handbook of Statistical Data Editing and Imputation

Handbook of Statistical Data Editing and Imputation

How to Cite

de Waal, T., Pannekoek, J. and Scholtus, S. (2011) Multivariate Imputation, in Handbook of Statistical Data Editing and Imputation, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470904848.ch8

Author Information

  1. Statistics Netherlands

Publication History

  1. Published Online: 4 APR 2011
  2. Published Print: 7 MAR 2011

ISBN Information

Print ISBN: 9780470542804

Online ISBN: 9780470904848

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Keywords:

  • multivariate imputation - drawbacks alleviated by use of multivariate imputation methods;
  • multivariate imputation models, and imputation of multivariate continuous data - imputation based on multivariate models for continuous and for categorical data;
  • Expectation–Maximization (EM) algorithm - iterative algorithm circumventing difficulties, filling in expected values for functions of missing values

Summary

This chapter contains sections titled:

  • Introduction

  • Multivariate Imputation Models

  • Maximum Likelihood Estimation in the Presence of Missing Data

  • Example: The Public Libraries

  • References