Small-sample performance of robust methods in logistic regression

Suraiya Nargis, Alice Richardson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationContributions to Probability and Statistics
Subtitle of host publicationApplications and Challenges - Proceedings of the International Statistics Workshop
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages152-164
Number of pages13
ISBN (Print)9812703918, 9789812703910
DOIs
Publication statusPublished - 2006
EventInternational Statistics Workshop on Contributions to Probability and Statistics: Applications and Challenges - Canberra, ACT, Australia
Duration: 4 Apr 20055 Apr 2005

Publication series

NameContributions to Probability and Statistics: Applications and Challenges - Proceedings of the International Statistics Workshop

Conference

ConferenceInternational Statistics Workshop on Contributions to Probability and Statistics: Applications and Challenges
Country/TerritoryAustralia
CityCanberra, ACT
Period4/04/055/04/05

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