Design and analysis of computer experiments

被引：0
作者：
Sonja Kuhnt
David M. Steinberg
机构：
[1] TU Dortmund University,Faculty of Statistics
[2] Tel Aviv University,Department of Statistics and Operations Research
来源：
AStA Advances in Statistical Analysis | 2010年 / 94卷
关键词：
Computer experiments; Design of experiments; Latin hypercube designs; Gaussian process model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The design and analysis of computer experiments as a relatively young research field is not only of high importance for many industrial areas but also presents new challenges and open questions for statisticians. This editorial introduces a special issue devoted to the topic. The included papers present an interesting mixture of recent developments in the field as they cover fundamental research on the design of experiments, models and analysis methods as well as more applied research connected to real-life applications.
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页码：307 / 309
页数：2
相关论文
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[1]  
Jourdan A.(2010)Optimal Latin hypercube designs for the Kullback–Leibler criterion Adv. Stat. Anal. 94 341-351
[2]  
Franco J.(2010)Computer experiments: A review Adv. Stat. Anal. 94 311-324
[3]  
Levy S.(2010)Metamodeling of aircraft infrared signature dispersion Adv. Stat. Anal. 94 405-422
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Steinberg D.M.(2010)Latin hypercupe sampling with inequality constraints Adv. Stat. Anal. 94 325-339
[5]  
Lefebvre S.(2010)Comparing and generating Latin hypercube designs in Kriging models Adv. Stat. Anal. 94 353-366
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Roblin A.(2010)Using recursive algorithms for the efficient identification of smoothing spline ANOVA models Adv. Stat. Anal. 94 367-388
[7]  
Varet S.(2010)Analysis of a thermomechanically coupled forming process using enhanced design and analysis of computer experiments Adv. Stat. Anal. 94 389-404
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