Please use this identifier to cite or link to this item: https://doi.org/10.1080/00224065.2018.1436839
Title: Uncertainty quantification for monotone stochastic degradation models
Authors: Piao Chen 
Zhi-sheng Ye 
Issue Date: 9-Apr-2018
Publisher: Taylor & Francis
Citation: Piao Chen, Zhi-sheng Ye (2018-04-09). Uncertainty quantification for monotone stochastic degradation models. Journal of Quality Technology 50 (2) : 207-219. ScholarBank@NUS Repository. https://doi.org/10.1080/00224065.2018.1436839
Source Title: Journal of Quality Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/142021
ISSN: 00224065
DOI: 10.1080/00224065.2018.1436839
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10.108000224065.2018.1436839.zip543.51 kBZIP

OPEN

NoneView/Download

SCOPUSTM   
Citations

3
checked on Dec 6, 2018

WEB OF SCIENCETM
Citations

2
checked on Nov 28, 2018

Page view(s)

28
checked on Dec 6, 2018

Download(s)

28
checked on Dec 6, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.