Multivariate Statistical Methods (4th Ed.) A Primer, Fourth Edition
Auteur : Navarro Jorge A.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used.
The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
Date de parution : 10-2017
15.6x23.4 cm
Date de parution : 10-2016
15.6x23.4 cm
Thèmes de Multivariate Statistical Methods :
Mots-clés :
Con; principal; Prehistoric Dog; component; Principal Components Analysis; analysis; Multidimensional Scaling; components; Golden Jackal; modern; Canonical Variable; dog; Modern Dog; alar; Agr; extent; Discriminant Function Analysis; female; Egyptian Skulls; sparrows; Mahalanobis Distance; Euphydryas Editha; Rst Molar; Alar Extent; Principal Components; Multivariate Statistical Methods; Female Sparrows; Veronica Chamaedrys; Nonmetric Multidimensional Scaling; Ranunculus Ficaria; Chi Squared Distribution; Gene Frequencies; Deschampsia Flexuosa; Principal Coordinates Analysis; Rumex Acetosa