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Small-sample performance of robust methods in logistic regression

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Date

2006

Authors

Nargis, S.
Richardson, Alice

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

In this paper we aim to deepen our understanding of the behaviour of robust methods in logistic regression. Firstly we describe a number of approaches to robust estimation in logistic regression. Next we test aspects of their behaviour through a small simulation study of binary data only. Finally, opportunities for further research are presented.

Description

Keywords

Generalised linear model, Simulation study

Citation

URI

http://hdl.handle.net/1885/138136

Collections

ANU Research Publications

Source

Type

Conference paper

Book Title

Contributions to Probability and Statistics: Applications and Challenges - Proceedings of the International Statistics Workshop
International Statistics Workshop on Contributions to Probability and Statistics: Applications and Challenges, Canberra ACT

Entity type

Access Statement

Open Access

License Rights

DOI

Restricted until

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