Computer Experiments with Qualitative and Quantitative Variables: A Review and
Reexamination
期刊名称： Quality Engineering
作者： Yulei Zhang,William I. Notz
作者机构： Department of Statistics
年份： 2015年
期号： 第1期
关键词： computer experiments; qualitative input万事皆休
; GaSP model; best linear
unbiad predictor; Gau脚背疼
ssian江苏有什么好吃的
correlation function; indicator variables
摘要：In this article, we review and r关于昆虫的作文
eexamine approaches to modeling computer experiments w月下老人是成语吗
ith qu
alitative and quantitative input variables. For tho not familiar with models for computer experiments, we begin by showing, in a simple tting, that a standard model for computer experiments can be viewed as a generalization of regression models. We then review models that include both quantitative and quantitative variables and prent some alternative parameterizations. Two are bad on indicator functions and allow one to u standard qua技巧的近义词
ntitative inputs-only models. Another parameterization provides additional insight into possible underlying factorial structure. Fi什么是会考
nally, we u two examples to illustrate the benefits of the alternative models
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