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Multivariate Statistics

Exercises and Solutions. With Download
BuchKartoniert, Paperback
362 Seiten
Englisch
Springererschienen am12.06.20152nd ed.
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The last part introduces a wide variety of exercises in applied multivariate data analysis.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR117,69
E-BookPDF1 - PDF WatermarkE-Book
EUR106,99

Produkt

KlappentextThe authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The last part introduces a wide variety of exercises in applied multivariate data analysis.
ZusammenfassungThis book presents the tools and concepts of multivariate data analysis. It demonstrates the application of simple calculus and basic multivariate methods in real life situations, and features more than 200 solved exercises.
Details
ISBN/GTIN978-3-642-36004-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2015
Erscheinungsdatum12.06.2015
Auflage2nd ed.
Seiten362 Seiten
SpracheEnglisch
Gewicht607 g
IllustrationenXXIV, 362 p. 123 illus., 30 illus. in color.
Artikel-Nr.28419145

Inhalt/Kritik

Inhaltsverzeichnis
Part I Descriptive Techniques:  Comparison of Batches.- Part II Multivariate Random Variables:  A Short Excursion into Matrix Algebra.- Moving to Higher.- Multivariate.- Theory of the Multinormal.-  Theory of Estimation.- Part III 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.mehr
Kritik
"The book basically contains a large number of exercises along with their solutions. ... This book is a good source for researchers in the area of multivariate data analysis. It is also a good supplement to an advanced course on the subject. ... this book takes a somewhat unique and different approach than a traditional textbook where one usually sees a topic covered in depth followed by a number of examples/exercises." (Morteza Marzjarani, Technometrics, Vol. 58 (4), April, 2016)mehr

Schlagworte

Autor

Wolfgang Karl Härdle is a Professor of Statistics at the Humboldt-Universität zu Berlin and the Director of CASE the Centre for Applied Statistics and Economics. He teaches quantitative finance and semi-parametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI and an advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.