Impact of censoring types on the two-stage method for analyzing reliability experiments with random effects-Reference-Cited by-同舟云学术

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Impact of censoring types on the two-stage method for analyzing reliability experiments with random effects

Published:2018-10-10 Issue:2 Volume:31 Page:302-313
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Lv Shanshan¹^ORCID,Wang Zhiqiong²,He Zhen³,Vining Geoffrey⁴

Affiliation:

1. School of Economics and Management, Hebei University of Technology, Tianjin, China;

2. School of Management, Tianjin University of Technology, Tianjin, China;

3. College of Management and Economics, Tianjin University, Tianjin, China;

4. Department of Statistics, Virginia Tech, Statistics, Blacksburg, Virginia

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2018.1513528

Reference18 articles.

1. Reliability of Space-Shuttle Pressure Vessels With Random Batch Effects

2. A Cautionary Tale: Small Sample Size Concerns for Grouped Lifetime Data

3. Reliability Data Analysis for Life Test Experiments with Subsampling

4. Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling

5. A Practitioner's Guide to Analyzing Reliability Experiments with Random Blocks and Subsampling

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data analysis of progressive‐stress accelerated life tests with group effects;Quality Technology & Quantitative Management;2022-12-01

2. Bayesian analysis of designed reliability improvement experiments with application to adaptive termination;Quality and Reliability Engineering International;2022-11-03

3. Simultaneous optimization of quality and censored reliability characteristics with constrained randomization experiment;Quality Technology & Quantitative Management;2022-01-03

4. Product reliability analysis based on heavily censored interval data with batch effects;Reliability Engineering & System Safety;2021-08

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