2015, ISBN: 9783642360046
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2015, ISBN: 9783642360046
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], The authors present tools and concepts of multivariate data analysis by means of exercises and their solut… Mehr…
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2015, ISBN: 9783642360046
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ISBN: 9783642360046
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals wi… Mehr…
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2015, ISBN: 9783642360046
Exercises and Solutions, [ED: 2], 2nd ed. 2015, Softcover, Buch, [PU: Springer Berlin]
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2015, ISBN: 9783642360046
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], The authors present tools and concepts of multivariate data analysis by means of exercises and their solut… Mehr…
2015, ISBN: 9783642360046
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], The authors present tools and concepts of multivariate data analysis by means of exercises and their solut… Mehr…
2015
ISBN: 9783642360046
[ED: Softcover], [PU: Springer, Berlin], The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graph… Mehr…
ISBN: 9783642360046
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals wi… Mehr…
2015, ISBN: 9783642360046
Exercises and Solutions, [ED: 2], 2nd ed. 2015, Softcover, Buch, [PU: Springer Berlin]
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Detailangaben zum Buch - Multivariate Statistics
EAN (ISBN-13): 9783642360046
ISBN (ISBN-10): 3642360041
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Springer Berlin
Buch in der Datenbank seit 2014-02-05T15:54:10+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-03-02T15:39:56+01:00 (Zurich)
ISBN/EAN: 9783642360046
ISBN - alternative Schreibweisen:
3-642-36004-1, 978-3-642-36004-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: wolfgang härdle, haerdle, kar, hard, may karl, har
Titel des Buches: using multivariate statistics, mul mul, exercises
Daten vom Verlag:
Autor/in: Wolfgang Karl Härdle; Zdeněk Hlávka
Titel: Multivariate Statistics - Exercises and Solutions
Verlag: Springer; Springer Berlin
362 Seiten
Erscheinungsjahr: 2015-06-12
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD
XXIV, 362 p. 123 illus., 30 illus. in color.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; data analysis; factor analysis; factor model; high dimensional data analysis; multivariate distribution; multivariate statistics; principal component; quantlets; regression models; Statistical Theory and Methods; Computational Mathematics and Numerical Analysis; Data and Information Visualization; Data Mining and Knowledge Discovery; Computational Intelligence; Numerische Mathematik; Informationsvisualisierung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; BC; EA
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All data sets are included in the library SMSdata that may be downloaded via the quantlet download center www.quantlet.org. Data sets are available also via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
Multivariate Techniques: Regression Models.- Variable Selection.- Decomposition of Data Matrices by Factors.- Principal Component Analysis.- Factor Analysis.- Cluster Analysis.- Discriminant Analysis.- Correspondence Analysis.- Canonical Correlation Analysis.- Multidimensional Scaling.- Conjoint Measurement Analysis.- Applications in Finance.- Highly Interactive, Computationally Intensive Techniques.- Data Sets.- References.- Index.
Part I Part II Part IIIis the Ladislaus von Bortkiewicz Professor of Statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the CRC-649 (Collaborative Research Center) “Economic Risk” and director of the IRTG 1792 “High Dimensional Non-stationary Time Series”. He teaches quantitative finance and semi-parametric statistics. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI (International Statistical Institute) and advisor to the Guanghua School of Management, Peking University, and senior fellow of Sim Kee Boon Institute of Financial Economics at the Singapore Management University.
studied mathematics at the Charles University in Prague and biostatistics at Limburgs Universitair Centrum in Diepenbeek. Later he held a position at Humboldt-Universität zu Berlin before he became amember of the Department of Probability and Mathematical Statistics at Charles University in Prague.
Wolfgang Karl Härdle Zdenek HlávkaThe authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
Goes further than most similar textbooks by considering SIR techniques that are not found typically in multivariate textbooks Data sets discussed in the book can be downloaded and analyzed by every statistical package Contains hundreds of solved exercises
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9780387735085 Multivariate Statistics: (Wolfgang Karl Härdle; Zdenek Hlávka)
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