Robust parameter change test for Poisson autoregressive models

Jiwon Kang, Junmo Song

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study considers the problem of testing for a parameter change in Poisson autoregressive models in the presence of outliers. For this purpose, we propose a cumulative sum test based on the robust estimator introduced by Kang and Lee (2014a), and derive its limiting null distribution. Simulation results demonstrate the robust properties of the proposed test.

Original languageEnglish
Pages (from-to)14-21
Number of pages8
JournalStatistics and Probability Letters
Volume104
DOIs
StatePublished - 1 Sep 2015

Keywords

  • Minimum density power divergence estimator
  • Outliers
  • Poisson autoregressive model
  • Robust test
  • Test for parameter change

Fingerprint

Dive into the research topics of 'Robust parameter change test for Poisson autoregressive models'. Together they form a unique fingerprint.

Cite this