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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bathke, Arne (Editor), Melas, Viatcheslav B (Editor), Pilz, Jürgen (Editor)
Format: Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023
Edition:1st ed. 2023
Series:Contributions to Statistics,
Subjects:

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Duke University

Holdings details from Duke University
Call Number: ISIL:US-NCD