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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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Detalhes bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Pilz, Jürgen (Editor), Melas, Viatcheslav B. (Editor), Bathke, Arne (Editor)
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edição:1st ed. 2023.
Colecção:Contributions to Statistics,
Assuntos:
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.
Acesso em linha:https://doi.org/10.1007/978-3-031-40055-1
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