Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/63023
Title: Analysis of reliability experiments with blocking
Authors: Xiao, L. 
Tang, L.C. 
Keywords: Blocking
Frailty
Multiple imputation
Reliability life test
Subsampling
Issue Date: Jun-2013
Source: Xiao, L.,Tang, L.C. (2013-06). Analysis of reliability experiments with blocking. Quality Technology and Quantitative Management 10 (2) : 141-160. ScholarBank@NUS Repository.
Abstract: Many reliability life tests contain blocking or subsampling. This is often the case when treatments are directly applied to test stands rather than individual specimen. Or, when specimens come from different production batches. Incorrectly assuming completely randomized design underestimates the standard errors due to overstating the true experimental degrees of freedom. In this paper, a survey of existing approaches to analyzing reliability life tests data under subsampling is conducted. We propose a method that integrates the idea of frailty, which accounts for the subsampling effect, and the technique of multiple imputation for analyzing experimental data. A step-by-step description of the approach is presented, followed by a numerical example based on a popular reliability dataset. Finally, comprehensive comparison studies between the proposed method and existing methods are conducted. © ICAQM 2013.
Source Title: Quality Technology and Quantitative Management
URI: http://scholarbank.nus.edu.sg/handle/10635/63023
ISSN: 16843703
Appears in Collections:Staff Publications

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