ENGLISH

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

By Jürgen Pilz; Viatcheslav B. Melas; Arne Bathke

Book information

Publisher
Springer Nature Switzerland
Year
2023
ISBN
9783031400551, 9783031400544
DOI
10.1007/978-3-031-40055-1
ISSN
2628-8966
Language
english
Format
EPUB
Filesize
33 MB (34397485 bytes)
Series
Contributions to Statistics
Edition
1
Pages
x; 265\0
Scanned
no
Time added
2023-11-17 01:43:24
Statistical Theory and Methods; Statistics and Com

Description

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.

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