Estimation of past inaccuracy measure for the right censored dependent data

E. I. Abdul Sathar, K. V. Viswakala and G. Rajesh

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 6, 1446-1455

Abstract: In the present article, we propose nonparametric estimators for the past inaccuracy measure for the lifetime distribution based on right censored data. Two non parametric estimators, one based on the empirical distribution function and the other using kernel density estimator, are proposed. Asymptotic properties of the estimators are established under suitable regularity conditions. Monte-Carlo simulation studies are carried out to compare the performance of the estimators. The method is illustrated using a real data set.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1651859 (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:50:y:2021:i:6:p:1446-1455

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

DOI: 10.1080/03610926.2019.1651859

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 ().