EconPapers    
Economics at your fingertips  
 

The Marshall–Olkin Inverted Nadarajah–Haghighi Distribution: Estimation and Applications

Gulnaz Raffiq, Iram Sajjad Dar, Muhammad Ahsan Ul Haq () and Eduardo Ramos
Additional contact information
Gulnaz Raffiq: University of Punjab
Iram Sajjad Dar: University of Punjab
Muhammad Ahsan Ul Haq: University of Punjab
Eduardo Ramos: University of São Paulo

Annals of Data Science, 2022, vol. 9, issue 6, No 11, 1323-1338

Abstract: Abstract We introduced and studied a new three-parameter lifetime distribution based on Marshall–Olkin and inverted Nadarajah–Haghighi distribution. In comparison with some existing lifetime models, the new distribution has very flexible shapes for hazard rate as well as for the probability density function. The related mathematical functions of the new distribution are presented. The maximum likelihood method is considered to obtain the parameter estimates of the MOINH distribution. A simulation study is presented to assess the behavior of the proposed estimator. The potentiality of the distribution is illustrated by fitting two real data sets.

Keywords: MO-family; Inverted Nadarajah–Haghighi; Reliability analysis; Estimation; Data analysis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-020-00297-7 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:9:y:2022:i:6:d:10.1007_s40745-020-00297-7

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

DOI: 10.1007/s40745-020-00297-7

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:9:y:2022:i:6:d:10.1007_s40745-020-00297-7