EconPapers    
Economics at your fingertips  
 

Discrete Beta-Exponential Distribution

V. Nekoukhou, M. H. Alamatsaz, H. Bidram and A. H. Aghajani

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 10, 2079-2091

Abstract: There are not many known distributions for modeling discrete data. In this paper, we shall introduce a discrete analogue of the beta-exponential distribution of Nadarajah and Kotz (2006), which is more plausible in modeling discrete data and exhibits both increasing and decreasing hazard rates. The discrete beta-exponential distribution can be viewed as a generalization of the discrete generalized exponential distribution introduced by Nekoukhou et al. (2012) and, thus, as an another generalization of the geometric distribution. We shall first study some basic distributional and moment properties of the new distribution. Then, certain structural properties of the distribution such as its unimodality, hazard rate behavior, and Rényi entropy are discussed. Using the maximum likelihood method, estimation of the model parameters is also investigated. Finally, the model is examined with a real data set and compared with its rival model, that is, the discrete generalized exponential distribution.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2013.773348 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:44:y:2015:i:10:p:2079-2091

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2013.773348

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:44:y:2015:i:10:p:2079-2091