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＜電子ブック＞
Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications : Selected Contributions from SimStat 2019 and Invited Papers / edited by Jürgen Pilz, Viatcheslav B. Melas, Arne Bathke
(Contributions to Statistics. ISSN:26288966)

版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2023
本文言語	英語
大きさ	X, 265 p. 85 illus., 56 illus. in color : online resource
著者標目	Pilz, Jürgen editor Melas, Viatcheslav B editor Bathke, Arne editor SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Experimental design LCSH:Machine learning LCSH:Stochastic models FREE:Statistical Theory and Methods FREE:Statistics and Computing FREE:Design of Experiments FREE:Machine Learning FREE:Applied Statistics FREE:Stochastic Modelling in Statistics
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-3-031-40055-1

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