Verfügbarkeit: Applications in statistical computing

Applications in statistical computing: from music data analysis to industrial quality improvement

Gespeichert in:

Bibliographische Detailangaben
Weitere Verfasser:	Bauer, Nadja (HerausgeberIn), Ickstadt, Katja 1965- (HerausgeberIn), Lübke, Karsten (HerausgeberIn), Szepannek, Gero (HerausgeberIn), Trautmann, Heike (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer [2019]
Schriftenreihe:	Studies in classification, data analysis, and knowledge organization
Schlagworte:	Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory Statistics Data mining Mathematical statistics Mathematics Operations research Decision making Festschrift Aufsatzsammlung
Online-Zugang:	DE-634 DE-92 DE-898 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-19 DE-703 DE-20 DE-824 DE-739 URL des Erstveröffentlichers
Beschreibung:	1 Online-Ressource (xi, 340 Seiten) Illustrationen
ISBN:	9783030251475
ISSN:	1431-8814
DOI:	10.1007/978-3-030-25147-5

Internformat

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Datensatz im Suchindex

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series2	Studies in classification, data analysis, and knowledge organization
spellingShingle	Applications in statistical computing from music data analysis to industrial quality improvement Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory Statistics Data mining Mathematical statistics Mathematics Operations research Decision making
subject_GND	(DE-588)4016928-5 (DE-588)4143413-4
title	Applications in statistical computing from music data analysis to industrial quality improvement
title_auth	Applications in statistical computing from music data analysis to industrial quality improvement
title_exact_search	Applications in statistical computing from music data analysis to industrial quality improvement
title_full	Applications in statistical computing from music data analysis to industrial quality improvement Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi, editors
title_fullStr	Applications in statistical computing from music data analysis to industrial quality improvement Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi, editors
title_full_unstemmed	Applications in statistical computing from music data analysis to industrial quality improvement Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi, editors
title_short	Applications in statistical computing
title_sort	applications in statistical computing from music data analysis to industrial quality improvement
title_sub	from music data analysis to industrial quality improvement
topic	Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory Statistics Data mining Mathematical statistics Mathematics Operations research Decision making
topic_facet	Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory Statistics Data mining Mathematical statistics Mathematics Operations research Decision making Festschrift Aufsatzsammlung
url	https://doi.org/10.1007/978-3-030-25147-5
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