Illustrating the Future Prediction of Performance Based on Computer Code, Physical Experiments, and Critical Performance Parameter Samples

Author： Hamada M. S.   Higdon D. M.  

Publisher： Taylor & Francis Ltd

ISSN： 0898-2112

Source： Quality Engineering, Vol.21, Iss.4, 2009-10, pp. : 405-415

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Comparing Computer Experiments for the Gaussian Process Model Using Integrated Prediction Variance

By Silvestrini Rachel T.   Montgomery Douglas C.   Jones Bradley  

Quality Engineering, Vol. 25, Iss. 2, 2013-04 ,pp. : 164-174

Taylor & Francis Ltd

Access to resources Recommend Favorite

Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision

By Picheny Victor  

Technometrics, Vol. 55, Iss. 1, 2013-02 ,pp. : 2-13

Taylor & Francis Ltd

Access to resources Recommend Favorite

Illustrating the Use of Statistical Experimental Design and Analysis for Multiresponse Prediction and Optimization

By Izraelevitz Adam   Anderson-Cook Christine   Hamada Michael  

Quality Engineering, Vol. 23, Iss. 3, 2011-07 ,pp. : 265-277

Taylor & Francis Ltd

Access to resources Recommend Favorite

Quantile-Based Metrics Applied to Process Performance

By Houston Ben  

Quality Engineering, Vol. 17, Iss. 4, 2005-10 ,pp. : 539-548

Taylor & Francis Ltd

Access to resources Recommend Favorite

Energy Efficient Graphene Based High Performance Capacitors

By  

Recent Patents on Nanotechnology, Vol. 11, Iss. 2, 2017-07 ,pp. : 93-100

Bentham Science Publishers

Access to resources Recommend Favorite