Efficient Prediction Designs for Random Fields

Werner Müller; Luc Pronzato; Joao Rendas; Helmut Waldl

doi:10.1002/asmb.2084

Efficient Prediction Designs for Random Fields

Werner Müller
, Luc Pronzato
, Joao Rendas
, Helmut Waldl

Department of Data Acquisition and Data Quality

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

Original language	English
Pages (from-to)	178-194
Number of pages	17
Journal	Applied Stochastic Models in Business and Industry
Volume	31
Issue number	2
DOIs	https://doi.org/10.1002/asmb.2084
Publication status	Published - Mar 2015

Fields of science

101018 Statistics
102009 Computer simulation
105108 Geostatistics
509 Other Social Sciences

JKU Focus areas

Computation in Informatics and Mathematics

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10.1002/asmb.2084

Cite this

@article{fdef855cfe1744ea926b434a984834b4,

title = "Efficient Prediction Designs for Random Fields",

author = "Werner M{\"u}ller and Luc Pronzato and Joao Rendas and Helmut Waldl",

year = "2015",

month = mar,

doi = "10.1002/asmb.2084",

language = "English",

volume = "31",

pages = "178--194",

journal = "Applied Stochastic Models in Business and Industry",

issn = "1526-4025",

number = "2",

}

TY - JOUR

T1 - Efficient Prediction Designs for Random Fields

AU - Müller, Werner

AU - Pronzato, Luc

AU - Rendas, Joao

AU - Waldl, Helmut

PY - 2015/3

Y1 - 2015/3

UR - https://www.scopus.com/pages/publications/84927667734

U2 - 10.1002/asmb.2084

DO - 10.1002/asmb.2084

M3 - Article

C2 - 26300698

SN - 1526-4025

VL - 31

SP - 178

EP - 194

JO - Applied Stochastic Models in Business and Industry

JF - Applied Stochastic Models in Business and Industry

IS - 2

ER -

Efficient Prediction Designs for Random Fields

Fields of science

JKU Focus areas

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Design of experiments

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Efficient Prediction Designs for Random Fields

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Design of experiments

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