Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications | Selected Contributions from SimStat 2019 and Invited Papers

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications | Selected Contributions from SimStat 2019 and Invited Papers | Jürgen Pilz (u. a.) | Buch | x | Englisch | 2023 | Springer | EAN 9783031400544 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de ref. del artículo 127224278

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Sinopsis:

Acerca del autor: Jürgen Pilz is Professor Emeritus at the Department of Statistics at the Alpen-Adria University Klagenfurt in Austria. His research areas include Bayesian statistics, spatial statistics, environmental and industrial statistics, statistical quality control and design of experiments.

Viatcheslav B. Melas is a Professor at the Department of Stochastic Simulation at the St. Petersburg State University, Russia. His research areas include experimental design, stochastic simulation and regression analysis, with a focus on functional approaches to optimal experimental design.

Arne Bathke is Full Professor of Statistics at the Paris Lodron University Salzburg, Austria. His main research interests are related to nonparametric and multivariate statistics applied in different fields, from social sciences to biomedicine and engineering.