ISBN: 9783642210372
The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of info… Mehr…
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The theme of the meeting was "Statistical Methods for the Analysis of Large Data-Sets". In recent years there has been increasing interest in this subject; in fact a huge quantity of info… Mehr…
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ISBN: 9783642210372
The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of info… Mehr…
Agostino Di Ciaccio, Jose Miguel Angulo Ibanez, Mauro Coli:
Advanced Statistical Methods for the Analysis of Large Data-Sets - neues Buch2003, ISBN: 9783642210372
The theme of the meeting was "Statistical Methods for the Analysis of Large Data-Sets". In recent years there has been increasing interest in this subject; in fact a huge quantity of info… Mehr…
2012
ISBN: 9783642210372
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2012
2012, ISBN: 9783642210372
eBooks, eBook Download (PDF), 2012, [PU: Springer Berlin], Springer Berlin, 2012
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Detailangaben zum Buch - Advanced Statistical Methods for the Analysis of Large Data-Sets
EAN (ISBN-13): 9783642210372
Erscheinungsjahr: 2012
Herausgeber: Springer-Verlag
Buch in der Datenbank seit 2009-08-16T19:12:25+02:00 (Vienna)
Detailseite zuletzt geändert am 2023-01-26T13:21:33+01:00 (Vienna)
ISBN/EAN: 9783642210372
ISBN - alternative Schreibweisen:
978-3-642-21037-2
Daten vom Verlag:
Autor/in: Agostino Di Ciaccio; Mauro Coli; Jose Miguel Angulo Ibanez
Titel: Selected Papers of the Statistical Societies; Studies in Theoretical and Applied Statistics; Advanced Statistical Methods for the Analysis of Large Data-Sets
Verlag: Springer; Springer Berlin
486 Seiten
Erscheinungsjahr: 2012-03-05
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
XIV, 486 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Clustering for large data-sets; Data Mining; Data integration and record linkage; Large-scale forecasting; Managing huge administrative data; C; Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Statistics for Business, Management, Economics, Finance, Insurance; Statistical Theory and Methods; Statistics and Computing; Statistics in Business, Management, Economics, Finance, Insurance; Mathematics and Statistics; Wahrscheinlichkeitsrechnung und Statistik; Mathematische und statistische Software; Wahrscheinlichkeitsrechnung und Statistik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; BB
The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”
Multivariate Analysis: Firm Size Dynamics in an Industrial District: The Mover–Stayer Model in Action (Cipollini F. , Ferretti C., Ganugi P.).- Multiple Correspondence Analysis for the Quantification and Visualization of Large Categorical Data Sets (Iodice D'Enza A., Greenacre M.).- Multivariate Ranks-based Concordance Indexes (Raffinetti E., Giudici P.).- Methods for Reconciling the Micro and the Macro in Family Demography Research: A Systematization (Matysiak A., Vignoli D.).
Part I Part II Part III Part IV Part V Part VI Part VII Part VIII Part IX Part X Part XI Agostino Di Ciaccio Mauro Coli Jose Miguel Angulo IbañezSelected papers considering both methodological and applicative issues Analyzing several aspects of the following topics:
The treatment of large administrative data with data integration and record linkage
The analysis of genomic and microarray data
The visualization and reduction of large data-sets
The analysis of high frequency data in finance
The analysis of social networks or complex time series databases
The analysis of environmental data
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