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Statistical modeling and simulation for experimental design and machine learning applications = selected contributions from SimStat 2019 and invited papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Statistical modeling and simulation for experimental design and machine learning applications/ edited by Jurgen Pilz, Viatcheslav B. Melas, Arne Bathke.
其他題名:
selected contributions from SimStat 2019 and invited papers /
其他作者:
Bathke, Arne.
團體作者:
Workshop on the Preservation of Stability under Discretization
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
x, 265 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Stochastic Modelling in Statistics. -
電子資源:
https://doi.org/10.1007/978-3-031-40055-1
ISBN:
9783031400551
Statistical modeling and simulation for experimental design and machine learning applications = selected contributions from SimStat 2019 and invited papers /
Statistical modeling and simulation for experimental design and machine learning applications
selected contributions from SimStat 2019 and invited papers /[electronic resource] :edited by Jurgen Pilz, Viatcheslav B. Melas, Arne Bathke. - Cham :Springer International Publishing :2023. - x, 265 p. :ill., digital ;24 cm. - Contributions to statistics. - Contributions to statistics..
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: 9783031400551
Standard No.: 10.1007/978-3-031-40055-1doiSubjects--Topical Terms:
1391582
Stochastic Modelling in Statistics.
LC Class. No.: QA270 / .I58 2019
Dewey Class. No.: 519.57
Statistical modeling and simulation for experimental design and machine learning applications = selected contributions from SimStat 2019 and invited papers /
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