Applied multivariate statistics with R /

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multiv...

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Bibliographic Details
Main Author: Zelterman, Daniel (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham Springer International Publishing Imprint: Springer 2015.
Series:Statistics for Biology and Health,
Subjects:
Online Access:Click here to view the full text content
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Table of Contents:
  • Introduction.- Elements of R
  • Graphical Displays
  • Basic Linear Algebra
  • The Univariate Normal Distribution
  • Bivariate Normal Distribution
  • Multivariate Normal Distribution
  • Factor Methods
  • Multivariate Linear Regression
  • Discrimination and Classification
  • Clustering
  • Time Series Models
  • Other Useful Methods
  • References
  • Appendix
  • Selected Solutions
  • Index.