Multivariate Statistical Analyses and Applications
نویسنده
چکیده
I. Introduction: Multivariate Statistical Analyses comprise a number of statistical methods/tools that may be applied to several fields of empirical investigations. Most of these methods have three characteristics in common: (i) they presume availability of data set, say Z(nxk) (in n observations and k variables; k ≥ 2, n>k), collected from the field (observationally or experimentally); (ii) they analyze the dispersion matrix or correlation matrix obtained from Z, and (iii) they obtain a set of composite variables from Z by a weighted (often linear) combination. Among these methods six are the prominent ones,
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