Please use this identifier to cite or link to this item:
Title: Constant- Stress Partially Accelerated Life Tests on Masked Series Systems under Progressive Type II Censoring
Authors: Shi, Xiaolin
Shi, Yimin
Keywords: Constant-stress partially accelerated life test, series systems, masked data, complementary exponential distribution, progressive Type-Ⅱ censoring, parametric estimation, Gibbs sampling
Issue Date: 24-Dec-2016
Publisher: Vidyasagar University
Series/Report no.: Journal of Physical Sciences;JPS-v21-art4
Abstract: In this paper, we discuss the parametric estimation of the constant-stress partially accelerated life test on masked series system, where complementary exponential distributed lifetimes are assumed for the components. Based on the progressive type II censored and masked system life data, the maximum-likelihood estimates (MLEs) of the unknown parameters and acceleration factor are derived. Also, the Bayesian estimates (BEs) of the unknown parameters and the acceleration factor are obtained by using Gibbs sample algorithm and adaptive rejection sampling method under independent symmetrical triangular priors and Gamma prior respectively. The effectiveness of MLEs and BEs are compared through the Monte Carlo simulation under different masking levels and censoring schemes.
ISSN: 2350-0352
Appears in Collections:Journal of Physical Sciences Vol.21 [2016]

Files in This Item:
File Description SizeFormat 
JPS-v21-art4.pdf100.12 kBAdobe PDFView/Open

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