Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/7041
Title: Order statistics based sampling design for reliability sampling
Authors: Low, Chan Kee
Balasooriya, Uditha
Keywords: DRNTU::Business
Issue Date: 2006
Abstract: We consider the problem of designing variables-sampling plans for life test-ing. Leiberman and Resnikoff, Schneider and many others have considered this problem for location-scale type lifetime distributions. However, in prac-tice often the actual lifetime distribution is unknown. In this article, we pro-pose a procedure based on order statistics for designing a reliability sampling plan which is applicable to any lifetime distribution. It is shown that, under the proposed procedure, subject to MIL-STD-105D specifications, only a few specimens need to be tested until failure, thereby reducing total test time con-siderably. A large-scale simulation study shows that the proposed procedure performs well. Two examples are given to illustrate the procedure. Keywords: Acceptance sampling; Order statistics; Life testing; Censoring; OC Curve
URI: http://hdl.handle.net/10356/7041
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:NBS Research Reports (Staff & Graduate Students)

Files in This Item:
File Description SizeFormat 
NBS-RESEARCH-REPORT_28.pdf
  Restricted Access
1.55 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.