Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Selected Contributions from SimStat 2019 and Invited Papers /

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, mach...

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Bibliographische Detailangaben

Körperschaft:	SpringerLink (Online service)
Weitere Verfasser:	Pilz, Jürgen (HerausgeberIn), Melas, Viatcheslav B. (HerausgeberIn), Bathke, Arne (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Ausgabe:	1st ed. 2023.
Schriftenreihe:	Contributions to Statistics,
Schlagworte:	Statistics . Mathematical statistics > Data processing. Experimental design. Machine learning. Stochastic models. Statistical Theory and Methods. Statistics and Computing. Design of Experiments. Machine Learning. Applied Statistics. Stochastic Modelling in Statistics.
Online-Zugang:	https://doi.org/10.1007/978-3-031-40055-1
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