Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review,WIREs Data Mining and Knowledge Discovery

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Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review
WIREs Data Mining and Knowledge Discovery ( IF 6.4 ) Pub Date : 2020-02-05 , DOI: 10.1002/widm.1358
Xiaoning Kang ₁ , Xinwei Deng ₂

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Computer experiment refers to the study of complex systems by using computer simulations to emulate the physical system. Design and analysis of computer experiments have attracted great attention in past decades. However, many computer experiments involve not only quantitative inputs, but also qualitative inputs, which make the design and analysis more challenging. The Latin hypercube design and its variants are widely used in computer experiments, but mainly for the quantitative inputs. Constructing desirable emulators for computer experiments with qualitative inputs also remains a challenging problem due to the discrete nature of qualitative inputs. In this review, we describe a set of statistical approaches for design and analysis of computer experiments with both quantitative and qualitative factors.

中文翻译：

具有定量和定性输入的计算机实验的设计和分析：选择性回顾

计算机实验是指通过使用计算机仿真来模拟物理系统来研究复杂系统。在过去的几十年中，计算机实验的设计和分析引起了极大的关注。但是，许多计算机实验不仅涉及定量输入，还涉及定性输入，这使设计和分析更具挑战性。拉丁超立方体设计及其变体被广泛用于计算机实验，但主要用于定量输入。由于定性输入的离散性质，为定性输入的计算机实验构建理想的仿真器仍然是一个具有挑战性的问题。在这篇综述中，我们描述了一套用于设计和分析具有定量和定性因素的计算机实验的统计方法。

更新日期：2020-02-05

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