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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

Selected Contributions from SimStat 2019 and Invited Papers

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-031-40055-1 / 978-3031400551 / 9783031400551

Verlag: Springer International Publishing

Erscheinungsdatum: 19.10.2023

Seiten: 265

Herausgegeben von Viatcheslav B. Melas, Jürgen Pilz, Arne Bathke

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