The depth-design: an efficient generation of high dimensional computer experiments

Martin Piffl; Ernst Stadlober

doi:10.1016/j.jspi.2015.03.002

The depth-design: an efficient generation of high dimensional computer experiments

Institute of Statistics (5060)

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	10-26
Journal	Journal of statistical planning and inference
Volume	164
DOIs	https://doi.org/10.1016/j.jspi.2015.03.002
Publication status	Published - 2015

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Theoretical

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10.1016/j.jspi.2015.03.002

PifflStadlober_Thedepthdesign_JStatistPlanningInference_164_2015_10-26.pdfFinal published version, 2 MB

Cite this

@article{db89b4fab8dd4ab78aa606fe27a85ac9,

title = "The depth-design: an efficient generation of high dimensional computer experiments",

author = "Martin Piffl and Ernst Stadlober",

year = "2015",

doi = "10.1016/j.jspi.2015.03.002",

language = "English",

volume = "164",

pages = "10--26",

journal = "Journal of statistical planning and inference",

issn = "0378-3758",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - The depth-design: an efficient generation of high dimensional computer experiments

AU - Piffl, Martin

AU - Stadlober, Ernst

PY - 2015

Y1 - 2015

UR - http://www.sciencedirect.com/science/journal/03783758/161

UR - http://www.sciencedirect.com/science/article/pii/S0378375815000427

U2 - 10.1016/j.jspi.2015.03.002

DO - 10.1016/j.jspi.2015.03.002

M3 - Article

SN - 0378-3758

VL - 164

SP - 10

EP - 26

JO - Journal of statistical planning and inference

JF - Journal of statistical planning and inference

ER -

The depth-design: an efficient generation of high dimensional computer experiments

Fields of Expertise

Treatment code (Nähere Zuordnung)

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Applied Statistics

Cite this

The depth-design: an efficient generation of high dimensional computer experiments

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Projects

Applied Statistics

Cite this