Canonical Analysis

Most multivariate analysis books are limited to a basic treatment of canonical variate analysis (CVA), this book provides an extensive and comprehensive treatment of CVA methods along with practical examples, many of which are drawn from the authors own experience. Written at an accessible level, this book explores ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. The theory is illustrated by the analyses of data sets from real life applications and case studies along with R code for performing analyses. Biplot visualisations form an integral part of this book and are illustrated with colour figures to demonstrate the different types of biplots relating to canonical analysis. Manifestations of canonical analysis are also discussed and include canonical correlation, discriminant analysis, multivariate analysis of variance, correspondence analysis and multiple correspondence analysis, and the analysis of dissimilarity matrices.

Majoritatea cartilor de analize multivariate sunt limitate la un tratament de baza al analizei variabile canonice (CVA), aceasta carte ofera un tratament extins si cuprinzator al metodelor CVA impreuna cu exemple practice, dintre care multe sunt extrase din propria experienta a autorilor. Scrisa la un nivel accesibil, aceasta carte exploreaza idei si metode care sunt utile pentru analiza exacta a datelor si interpretarile rezultate ale acestora.