Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi.

This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of re...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bauer, Nadja (Editor), Ickstadt, Katja (Editor), Lübke, Karsten (Editor), Szepannek, Gero (Editor), Trautmann, Heike (Editor), Vichi, Maurizio (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
Physical Description:XI, 340 p. 83 illus., 48 illus. in color. online resource.
ISBN:9783030251475
ISSN:1431-8814
DOI:10.1007/978-3-030-25147-5