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Statistical modeling and simulation for experimental design and machine learning applicationsselected contributions from SimStat 2019 and invited papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical modeling and simulation for experimental design and machine learning applicationsedited by Jurgen Pilz, Viatcheslav B. Melas, Arne Bathke.
其他題名:	selected contributions from SimStat 2019 and invited papers /
其他作者:	Pilz, Jurgen.
團體作者:
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:	Experimental designCongresses.Statistical methods
電子資源:	https://doi.org/10.1007/978-3-031-40055-1
ISBN:	9783031400551$q(electronic bk.)

Statistical modeling and simulation for experimental design and machine learning applicationsselected contributions from SimStat 2019 and invited papers /
Statistical modeling and simulation for experimental design and machine learning applicationsselected 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$q(electronic bk.)

Standard No.: 10.1007/978-3-031-40055-1doiSubjects--Topical Terms:

962709
Experimental design
--Statistical methods--Congresses.

LC Class. No.: QA270 / .I58 2019

Dewey Class. No.: 519.57

Statistical modeling and simulation for experimental design and machine learning applicationsselected contributions from SimStat 2019 and invited papers /
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