Multivariate Statistical Methods: A Primer (4th Edition)

Multivariate Statistical Methods: A Primer has as its stated purpose to introduce multivariate statistical methods to non-mathematicians, intending to keep details to a minimum but still convey a good idea of what can be done in the area of multivariate statistics.The prior three editions appeared in 1986 (159 pages), 1994 (232 pages), and 2004 (224 pages), with Manly as single author.The preface states that the main change since the third edition is the introduction of R code to do all of the analyses in the book.The reader is assumed to have a working knowledge of elementary statistical methods, i.e., significance testing using the normal, t, χ 2 , and F distributions, analysis of variance (ANOVA), and standard linear regression.Additionally, to fully benefit from the text, some facility with algebra is required, as is some knowledge about matrix algebra.