THE MARSHALL-OLKIN GENERALIZED-G FAMILY OF DISTRIBUTIONS WITH APPLICATIONS

Haitham M. Yousof, Ahmed Z. Afify, Saralees Nadarajah and Gokarna R. Aryal ()
Additional contact information
Haitham M. Yousof: Benha University, Egypt
Ahmed Z. Afify: Benha University, Egypt
Saralees Nadarajah: University of Manchester, Manchester, UK
Gokarna R. Aryal: Purdue University Northwest, USA

Statistica, 2018, vol. 78, issue 3, 273-295

Abstract: We introduce a new class of distributions called the Marshall-Olkin generalized-G family. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, order statistics are discussed. The maximum likelihood method is used for estimating the model parameters. The importance and flexibility of the new family are illustrated by means of two applications to real data sets.

Keywords: Marshall-Olkin distribution; Order statistics; Parameter estimation; Simulation (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (4)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:78:y:2018:i:3:p:273-295

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().