Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 16, Issue 2 (2018)
  4. A New Generalized Family of Distribution ...

Journal of Data Science

Submit your article Information
  • Article info
  • More
    Article info

A New Generalized Family of Distributions from Bounded Support
Volume 16, Issue 2 (2018), pp. 251–276
M.H. Tahir   Gauss M. Cordeiro   M. Mansoor     All authors (5)

Authors

 
Placeholder
https://doi.org/10.6339/JDS.201804_16(2).0003
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

In this paper, we introduce a new generalized family of distri- butions from bounded support (0,1), namely, the Topp-Leone-G family.Some of mathematical properties of the proposed family have been studied. The new density function can be symmetrical, left-skewed, right-skewed or reverse-J shaped. Furthermore, the hazard rate function can be constant, in- creasing, decreasing, J or bathtub hazard rate shapes. Three special models are discussed. We obtain simple expressions for the ordinary and incomplete moments, quantile and generating functions, mean deviations and entropies. The method of maximum likelihood is used to estimate the model parame- ters. The flexibility of the new family is illustrated by means of three real data sets.

PDF XML
PDF XML

Copyright
No copyright data available.

Keywords
G-class J-shaped distribution, moments reliability function T-X family Topp-Leone distribution

Metrics
since February 2021
907

Article info
views

612

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