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Nonparametric predictive comparison of lifetime data under progressive censoring

Coolen-Maturi, Tahani, Coolen-Schrijner, Pauline, Coolen, Frank P. A. (2010) Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference, 140 (2). pp. 515-525. ISSN 0378-3758. (doi:10.1016/j.jspi.2009.07.027) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28454)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1016/j.jspi.2009.07.027

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.

Item Type: Article
DOI/Identification number: 10.1016/j.jspi.2009.07.027
Uncontrolled keywords: Lifetime testing; Lower and upper probability; Nonparametric predictive inference; Pairwise comparison; Progressive censoring
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Tahani Coolen-Maturi
Date Deposited: 21 Nov 2011 07:42 UTC
Last Modified: 16 Nov 2021 10:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/28454 (The current URI for this page, for reference purposes)

University of Kent Author Information

Coolen-Maturi, Tahani.

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