Dr Tahani Coolen-Maturi tahani.maturi@durham.ac.uk
Professor
Nonparametric predictive comparison of lifetime data under progressive censoring
Maturi, T A; Coolen-Schrijner, P; Coolen, F P A
Authors
P Coolen-Schrijner
Professor Frank Coolen frank.coolen@durham.ac.uk
Professor
Abstract
In reliability and lifetime testing, comparison of two groups of data is a common problem. It is often attractive, or even necessary, to make a quick and efficient decision in order to save time and costs. This paper presents a nonparametric predictive inference (NPI) approach to compare two groups, say X and Y, when one (or both) is (are) progressively censored. NPI can easily be applied to different types of progressive censoring schemes. NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities. These inferences consider the event that the lifetime of a future unit from Y is greater than the lifetime of a future unit from X.
Citation
Maturi, T. A., Coolen-Schrijner, P., & Coolen, F. P. A. (2010). Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference, 140(2), 515-525. https://doi.org/10.1016/j.jspi.2009.07.027
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 28, 2009 |
Online Publication Date | Aug 6, 2009 |
Publication Date | 2010-02 |
Deposit Date | Dec 12, 2011 |
Journal | Journal of Statistical Planning and Inference |
Print ISSN | 0378-3758 |
Electronic ISSN | 1873-1171 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 140 |
Issue | 2 |
Pages | 515-525 |
DOI | https://doi.org/10.1016/j.jspi.2009.07.027 |
Public URL | https://durham-repository.worktribe.com/output/1533194 |
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