UID:
almahu_9949578597002882
Umfang:
X, 265 p. 85 illus., 56 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9783031400551
Serie:
Contributions to Statistics
Inhalt:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031400544
Weitere Ausg.:
Printed edition: ISBN 9783031400568
Weitere Ausg.:
Printed edition: ISBN 9783031400575
Sprache:
Englisch
DOI:
10.1007/978-3-031-40055-1
URL:
https://doi.org/10.1007/978-3-031-40055-1
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