Parametric and Nonparametric Regression with Missing X's - A Review

Toutenburg, Helge and Heumann, Christian and Nittner, T. and Scheid, S. (2002): Parametric and Nonparametric Regression with Missing X's - A Review. Collaborative Research Center 386, Discussion Paper 286

Abstract

This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoretical basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of Little (1992).

• Item Type: Paper (Research Paper)
• Keywords: missing data mechanism, regression analysis, generalized additive models, imputation, MSE-superiority
• Collections: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics