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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

Selected Contributions from SimStat 2019 and Invited Papers

Jurgen Pilz editor Viatcheslav B Melas editor Arne Bathke editor

Format:Hardback

Publisher:Springer International Publishing AG

Published:20th Oct '23

Should be back in stock very soon

Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications cover

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.

ISBN: 9783031400544

Dimensions: unknown

Weight: unknown

265 pages

2023 ed.