Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 12, Issue 1 (2014)
  4. On Chen et al.’s Extreme Value Distribut ...

Journal of Data Science

Submit your article Information
  • Article info
  • Related articles
  • More
    Article info Related articles

On Chen et al.’s Extreme Value Distribution
Volume 12, Issue 1 (2014), pp. 87–106
Saralees Nadarajah   Sumaya Eljabri  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.2014.12(1).1238
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: Chen, Bunce and Jiang [In: Proceedings of the International Con ference on Computational Intelligence and Software Engineering, pp. 1-4] claim to have proposed a new extreme value distribution. But the formulas given for the distribution do not form a valid probability distribution. Here, we correct their formulas to form a valid probability distribution. For this valid distribution, we provide a comprehensive treatment of mathematical properties, estimate parameters by the method of maximum likelihood and provide the observed information matrix. The flexibility of the distribution is illustrated using a real data set.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
Extreme values maximum likelihood moments

Metrics
since February 2021
507

Article info
views

326

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy