Multivariate statistics: exercises and solutions /

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 situat...

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Bibliographic Details
Main Authors: Härdle, Wolfgang Karl (Author), Hlávka, Zdeněk (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg Imprint: Springer, 2015.
Edition:Second edition 2015
Subjects:
Online Access:Click here to view the full text content
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Table of Contents:
  • 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.