Zobrazeno 1 - 5
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pro vyhledávání: '"Thomas Mühlenstädt"'
Autor:
Thomas Mühlenstädt, Sonja Kuhnt
Publikováno v:
Computational Statistics & Data Analysis. 55:2962-2974
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd75d5f8d5cf4e0098a3b9f25900ddf
https://doi.org/10.1016/j.csda.2011.05.001
https://doi.org/10.1016/j.csda.2011.05.001
Publikováno v:
Applied Stochastic Models in Business and Industry. 28:354-361
In many scientific areas, non-stochastic simulation models such as finite element simulations replace real experiments. A common approach is to fit a meta-model, for example a Gaussian process model, a radial basis function interpolation, or a kernel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23b2a8ec975a993aa404651b60328184
https://doi.org/10.1002/asmb.909
https://doi.org/10.1002/asmb.909
Autor:
Thomas Mühlenstädt
Publikováno v:
Journal of Statistical Planning and Inference. 140:585-596
Space filling designs are important for deterministic computer experiments. Even a single experiment can be very time consuming and can have many input parameters. Furthermore the underlying function generating the output is often nonlinear. Thus, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d910c2130130d28f515f5688aaec684
https://doi.org/10.1016/j.jspi.2009.08.002
https://doi.org/10.1016/j.jspi.2009.08.002
Autor:
Thomas Mühlenstädt, Ursula Gather
Publikováno v:
Statistical Inference, Econometric Analysis and Matrix Algebra ISBN: 9783790821208
Deterministic computer experiments are of increasing importance in many scientific and engineering fields. In this paper we focus on assessing the adequacy of computer experiments, i.e. we test if a computer experiment is predicting a corresponding r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19bf7fa5547ba60c412735b3b0574b01
https://doi.org/10.1007/978-3-7908-2121-5_5
https://doi.org/10.1007/978-3-7908-2121-5_5
