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A general theory for orthogonal array based Latin hypercube sampling

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Publication:2796880
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DOI10.5705/ss.202015.0029zbMath1356.62099OpenAlexW4241969325MaRDI QIDQ2796880

Kang Li, Xiangshun Kong, Ming-Yao Ai

Publication date: 30 March 2016

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202015.0029


zbMATH Keywords

Latin hypercube samplingorthogonal arrayfunctional decompositionstatistical property


Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Orthogonal arrays, Latin squares, Room squares (05B15) Factorial statistical designs (62K15)


Related Items (5)

Construction of orthogonal arrays of strength three by augmented difference schemes ⋮ A central limit theorem for marginally coupled designs ⋮ Uniformity of saturated orthogonal arrays ⋮ Flexible sliced designs for computer experiments ⋮ Representative points for distribution recovering







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