Applications in Statistical Computing From Music Data Analysis to Industrial Quality Improvement /

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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bauer, Nadja (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ickstadt, Katja (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lübke, Karsten (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Szepannek, Gero (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Trautmann, Heike (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vichi, Maurizio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Studies in Classification, Data Analysis, and Knowledge Organization,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XI, 340 p. 83 illus., 48 illus. in color. online resource.
ISBN:9783030251475
ISSN:1431-8814
DOI:10.1007/978-3-030-25147-5