Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications: Selected Contributions from SimStat 2019 and Invited Papers (1st ed. 2023) (Contributions to Statistics)

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Synopsis
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.
Copyright:
2023

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783031400551
Related ISBNs:
9783031400544
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
The Editor
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Jürgen Pilz
Edited by:
Viatcheslav B. Melas
Edited by:
Arne Bathke

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