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Latin hypercube designs have been widely used in computer experiments with quantitative factors. When there are both qualitative and quantitative fac-tors in computer experiments, sliced space-filling...
The planning and management of supply chains require properly specifying the participating members and the relationships among them. Construction supply chains usually consist of numerous participants...
The planning and management of supply chains require properly specifying the participating members and the relationships among them. Construction supply chains usually consist of numerous participants...
The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due t...
David Root,Professor,School of Construction Economics & Management at South Africa's Wits University.He is Research Interests:Procurement systems including preferential procurement and public private ...
The School of Construction Economics and Management is located within the Faculty of Engineering and the Built Environment, a Faculty that was created in 2001 from the merger between the Faculty of th...
The extremaltprocess was proposed in the literature for modelling spatial extremes within a copula framework based on the extreme value limit of ellipticalt distribu-tions (Davison, Padoan and Ribatet...
The article discusses the constructions and contributions of implications for practice (IFP) sections of management research manuscripts. Research was conducted on five management-related academic jou...
To better understand the spatial structure of large panels of economic and financial time series and provide a guideline for constructing semiparametric models, this paper first considers estimating a...
Supersaturated design (SSD) has received much recent interest because of its potential in factor screening experiments. In this pa- per, we provide equivalent conditions for two columns to be fully ...
Building higher-dimensional copulas is generally recognized as a difficult problem. Regular-vines using bivariate copulas provide a flexible class of high-dimensional dependency models. In large dim...
Kernel density estimation (KDE) is a popular statistical technique for estimating the underlying density distribution with minimal assumptions. Although they can be shown to achieve asymptotic estimat...
Unexpected public emergency events have occurred frequently in recent years. How to deal with these events quickly and efficiently has become an important issue. First, the paper describes the importa...
Testing covariance structure is of significant interest in many areas of statistical analysis and construction of compressed sensing matrices is an important problem in signal processing. Motivated b...
We study the scenario of graph-based clustering algorithms such as spectral clustering. Given a set of data points, one first has to construct a graph on the data points and then apply a graph cluste...

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