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ISBN 10: 1032151153 ISBN 13: 9781032151151
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ISBN 10: 1032151145 ISBN 13: 9781032151144
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Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031400542 ISBN 13: 9783031400544
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Hardcover. Condition: new. Hardcover. This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 26, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field. This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Buch. Condition: Neu. Smart Proxy Modeling | Artificial Intelligence and Machine Learning in Numerical Simulation | Shahab D. Mohaghegh | Buch | Einband - fest (Hardcover) | Englisch | 2022 | CRC Press | EAN 9781032151144 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2¿6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
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Taschenbuch. Condition: Neu. Machine Learning in Modeling and Simulation | Methods and Applications | Timon Rabczuk (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9783031366468 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.