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
Call Number:Libro Electrónico
Main Author: Zelterman, Daniel (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Statistics for Biology and Health,
Subjects:
Biometry.
Epidemiology.
Bioinformatics.
Biostatistics.
Computational and Systems Biology.
Online Access:Texto Completo
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.

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