EconPapers    
Economics at your fingertips  
 

Unit Modified Burr-III Distribution: Estimation, Characterizations and Validation Test

Muhammad Ahsan ul Haq (), Sharqa Hashmi (), Khaoula Aidi (), Pedro Luiz Ramos () and Francisco Louzada ()
Additional contact information
Muhammad Ahsan ul Haq: University of the Punjab
Sharqa Hashmi: University of the Punjab
Khaoula Aidi: University Badji Mokhtar
Pedro Luiz Ramos: University of São Paulo
Francisco Louzada: University of São Paulo

Annals of Data Science, 2023, vol. 10, issue 2, No 7, 415-440

Abstract: Abstract In this paper, a new three-parameter unit probability distribution is proposed. The new model is a generalization of Burr III distribution, and it is more flexible than some existing well-known distribution due to its different shapes of the hazard function and probability density functions. The mathematical properties of this distribution are presented, including moments, reliability measures, mean residual life, and characterizations, and we also propose a modified Chi squared goodness-of-fit test based on Nikulin–Rao–Robson statistic Y2 in the presence of complete and censored data. The parameters related to the proposed distribution are estimated using well-known estimation methods. A numerical simulations study is conducted for reinforcement of the results. In the end, we considered two real datasets to illustrate the applicability of the proposed model.

Keywords: Burr III distribution; Moments; Estimation; Characterization; Goodness-of-fit test (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-020-00298-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:aodasc:v:10:y:2023:i:2:d:10.1007_s40745-020-00298-6

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-020-00298-6

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:aodasc:v:10:y:2023:i:2:d:10.1007_s40745-020-00298-6