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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical modeling and simulation for experimental design and machine learning applications/ edited by Jurgen Pilz, Viatcheslav B. Melas, Arne Bathke.
Reminder of title:	selected contributions from SimStat 2019 and invited papers /
other author:	Pilz, Jurgen.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2023.,
Description:	x, 265 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Experimental design - Congresses. - Statistical methods -
Online resource:	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 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

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

1431739
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 applications = selected contributions from SimStat 2019 and invited papers /
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