Shifted log loss Gaussian process model for expected quality loss prediction in robust parameter design-Reference-Cited by-同舟云学术

Shifted log loss Gaussian process model for expected quality loss prediction in robust parameter design

Published:2021-04-26 Issue:5 Volume:18 Page:527-551
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Jiang Fan¹^ORCID,Tan Matthias Hwai-Yong¹

Affiliation:

1. School of Data Science, City University of Hong Kong, Hong Kong, China

Funder

Research Grants Council of Hong Kong, China

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/10.1080/16843703.2021.1910190

Reference58 articles.

1. Outage probabilities in the presence of correlated lognormal interferers

2. Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments

3. Diagnostic Regression Analysis and Shifted Power Transformations

4. Grouped Likelihood for the Shifted Power Transformation

5. Achieving Robust Design from Computer Simulations

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