The robustness of response surface designs with errors in factor levels-Reference-Cited by-同舟云学术

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The robustness of response surface designs with errors in factor levels

Published:2019-07-10 Issue:10 Volume:49 Page:2365-2383
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Fang Juntao¹²,He Zhen¹,He Shuguang¹,Wang Guodong³

Affiliation:

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

2. School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China;

3. Department of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou

Funder

National Key R&D Program of China

Natural Science Foundation of China

Youth Foundation of the Ministry of Education

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2019.1576883

Reference24 articles.

1. A graphical evaluation of logistic ridge estimator in mixture experiments

2. Fraction of Design Space Plots for Assessing Mixture and Mixture-Process Designs

3. Response surface design evaluation and comparison

4. Estimation in Second-Order Models with Errors in the Factor Levels

5. The Impacts of Errors in Factor Levels on Robust Parameter Design Optimization

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. Evaluation of orthogonal composite designs for second‐order model in presence of missing observation;Quality and Reliability Engineering International;2024-09-03

2. Effects of error in factor levels on orthogonal composite designs for second-order models;Communications in Statistics - Theory and Methods;2024-04-23

3. Fraction of design space plots for evaluating orthogonal composite designs;Communications in Statistics - Theory and Methods;2023-10-11

4. Prediction variance capability of orthogonal uniform composite designs and orthogonal array composite designs in the spherical region;Communications in Statistics - Theory and Methods;2022-08-04

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