Optimal design for reliability improvement experiments with a non-constant scale parameter-Reference-Cited by-同舟云学术

Optimal design for reliability improvement experiments with a non-constant scale parameter

Published:2023-09-04 Issue: Volume: Page:1-18
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Wang Guodong¹^ORCID,Li Xiaoyang¹,Fang Guanqi²³^ORCID,He Zhen⁴,Vining Geoff⁵

Affiliation:

1. Department of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China

2. School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China

3. Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou, China

4. College of Management and Economics, Tianjin University, Tianjin, China

5. Department of Statistics, Virginia Tech, Blacksburg, VA, USA

Funder

National Natural Science Foundation of China

Training Program for Young Key Teachers in Universities of Henan Province

Program for Innovative Research Team (in Science and Technology) in University of Henan Province

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2023.2255373

Reference46 articles.

1. Bayesian analysis of the lifetime performance index on the basis of progressively censored Weibull observations

2. Estimating reliability parameters for inverse Gaussian distributions under complete and progressively type-II censored samples

3. Hierarchical optimal designs and modeling for engineering: A case‐study in the rail sector

4. Improvement of an Industrial Thermostat Using Designed Experiments

5. Optimal sample size allocation for multi-level stress testing with exponential regression under type-I censoring

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1. Correction;Quality Technology & Quantitative Management;2023-09-23