Applied Multivariate Statistical Analysis

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a ne...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Härdle, Wolfgang Karl (Συγγραφέας), Simar, Léopold (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Έκδοση:4th ed. 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • I Descriptive Techniques: Comparison of Batches
  • II Multivariate Random Variables: A Short Excursion into Matrix Algebra
  • Moving to Higher Dimensions
  • Multivariate Distributions
  • Theory of the Multinormal
  • Theory of Estimation
  • Hypothesis Testing
  • III Multivariate Techniques: Regression Models
  • Variable Selection
  • Decomposition of Data Matrices by Factors
  • Principal Components Analysis
  • Factor Analysis
  • Cluster Analysis
  • Discriminant Analysis
  • Correspondence Analysis
  • Canonical Correlation Analysis
  • Multidimensional Scaling
  • Conjoint Measurement Analysis
  • Applications in Finance
  • Computationally Intensive Techniques
  • IV Appendix: Symbols and Notations
  • Data.