A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine

Mohamed Ibrahim (), Khaoula Aidi (), M. Masoom Ali () and Haitham M. Yousof ()
Additional contact information
Mohamed Ibrahim: Damietta University
Khaoula Aidi: University Badji Mokhtar
M. Masoom Ali: Ball State University
Haitham M. Yousof: Benha University

Annals of Data Science, 2023, vol. 10, issue 5, No 6, 1285-1299

Abstract: Abstract A new modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test is presented and investigated for validity under the exponentiated Rayleigh generalized Chen distribution and the right censor case. Simulations via the algorithm of Barzilai-Borwein is performed for assessing the right censored estimation method. Four right censored data sets are analyzed under the new modified test statistic for checking the distributional validation.

Keywords: Right censored validation; Barzilai-Borwein; Bagdonavičius-Nikulin; Goodness-of-fit test; Simulation (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/s40745-022-00416-6 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:5:d:10.1007_s40745-022-00416-6

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

DOI: 10.1007/s40745-022-00416-6

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 ().