| 書(shū)目名稱 | Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications | | 副標(biāo)題 | Selected Contributio | | 編輯 | Jürgen Pilz,Viatcheslav B. Melas,Arne Bathke | | 視頻video | http://file.papertrans.cn/877/876560/876560.mp4 | | 概述 | Presents current developments in statistical modeling and simulation.Focuses on experimental design and machine learning applications.Features invited contributions | | 叢書(shū)名稱 | Contributions to Statistics | | 圖書(shū)封面 |  | | 描述 | 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. | | 出版日期 | Conference proceedings 2023 | | 關(guān)鍵詞 | Statistical Modeling; Stochastic Simulation; Design of Experiments; Machine Learning; Statistical Comput | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-40055-1 | | isbn_softcover | 978-3-031-40057-5 | | isbn_ebook | 978-3-031-40055-1Series ISSN 1431-1968 Series E-ISSN 2628-8966 | | issn_series | 1431-1968 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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