Relative ageing in frailty and resilience models
Neeraj Misra () and
Jisha Francis ()
Additional contact information
Neeraj Misra: Indian Institute of Technology
Jisha Francis: Indian Institute of Technology
Metrika: International Journal for Theoretical and Applied Statistics, 2020, vol. 83, issue 2, No 2, 196 pages
Abstract:
Abstract Frailty and resilience models provide a convenient tool to introduce random effects, dependence and unobserved heterogeneity into the models for survival data. In this paper, we study the ageing of baseline distribution function $$H_0$$H0 relative to ageing of frailty distribution corresponding to $$H_0$$H0. We also study the relative ageing of frailty models having the same baseline distribution but different frailty distributions. Similar study is carried out for resilience models.
Keywords: Hazard rate; Reversed hazard rate; Mean residual life; Mean inactivity time; RR $$_2$$ 2; TP $$_2$$ 2 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s00184-019-00726-5 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:metrik:v:83:y:2020:i:2:d:10.1007_s00184-019-00726-5
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00184-019-00726-5
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().