Computer experiments may involve not only continuous input factors but also nominal
factors, discrete numeric factors, and ordinal factors. Most existing literature in designing …

A new and flexible design construction for orthogonal arrays for modern applications Page
1 The Annals of Statistics 2022, Vol. 50, No. 3, 1473–1489 https://doi.org/10.1214/21-AOS2159 …

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 …

Computer experiments with both qualitative and quantitative input variables occur frequently
in many scientific and engineering applications. As a result, how to choose the input settings …

Doubly coupled designs (DCDs) have better space-filling properties between the qualitative
and quantitative factors than marginally coupled designs (MCDs) which are suitable for …

Recent researches on designs for computer experiments with both qualitative and
quantitative factors have advocated the use of marginally coupled designs. This paper …

Marginally coupled designs (MCDs) with more economical run sizes than sliced Latin
hypercube designs were widely used in computer experiments with both quantitative and …

Marginally coupled designs (MCDs) were first introduced by Deng et al.(Stat Sin 25: 1567–
1581, 2015), as more economical designs than sliced space-filling designs which are the …

Computer experiments often involve both qualitative and quantitative factors, posing
challenges for efficient experimental designs. Strongly coupled designs (SCDs) are …

Computer experiments with both qualitative and quantitative factors are widely used in many
applications. Motivated by the emerging need of optimal configuration in the high …