LINDLEY PARETO DISTRIBUTION

Zeghdoudi Halim (), Nouara Lazri () and Yahia Djabrane ()
Additional contact information
Zeghdoudi Halim: LaPS laboratory, Badji-Mokhtar University, Box 12, Annaba, 23000, Algeria .
Nouara Lazri: LaPS laboratory, Badji-Mokhtar University, Box 12, Annaba, 23000, Algeria .
Yahia Djabrane: Laboratory of Applied Mathematics, Mohamed Khider University, Box 145, Biskra, 07000, Algeria .

Statistics in Transition New Series, 2018, vol. 19, issue 4, 671-692

Abstract: In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the proposed distribution.

Keywords: T-X family; Lindley distribution; Pareto distribution. (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21307/stattrans-2018-035 (text/html)

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:vrs:stintr:v:19:y:2018:i:4:p:671-692:n:5

DOI: 10.21307/stattrans-2018-035

Access Statistics for this article

Statistics in Transition New Series is currently edited by Włodzimierz Okrasa

More articles in Statistics in Transition New Series from Statistics Poland
Bibliographic data for series maintained by Peter Golla ().