Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 15, Issue 4 (2017)
  4. The Transmuted Topp-Leone G Family of Di ...

Journal of Data Science

Submit your article Information
  • Article info
  • More
    Article info

The Transmuted Topp-Leone G Family of Distributions: Theory, Characterizations and Applications
Volume 15, Issue 4 (2017), pp. 723–740
Haitham M. Yousof   Morad Alizadeh   S. M. A. Jahanshahi     All authors (6)

Authors

 
Placeholder
https://doi.org/10.6339/JDS.201710_15(4).00008
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

In this paper, we introduce a new family of continuous distributions called the transmuted Topp-Leone G family which extends the transmuted class pioneered by Shaw and Buckley (2007). Some of its mathematical properties including probability weighted moments, mo- ments, generating functions, order statistics, incomplete moments, mean deviations, stress- strength model, moment of residual and reversed residual life are studied. Some useful char- acterizations results based on two truncated moments as well as based on hazard function are presented. The maximum likelihood method is used to estimate its parameters. The Monte Carlo simulation is used for assessing the performance of the maximum likelihood estimators. The usefulness of the new model is illustrated by means of two real data set.

PDF XML
PDF XML

Copyright
No copyright data available.

Metrics
since February 2021
879

Article info
views

858

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