Relationships between sets of variables of different kinds are of interest in many branches of
science. The question of the analysis of relationships of this sort has nevertheless rather …

Reviews the 2 problems for which a discriminant analysis is used—separation and
classification. Issues related to the use and interpretation of a discriminant analysis are …

A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of
univariate and multivariate statistical analyses using the latest version of the Statistical …

A Proven Guide for Easily Using R to Effectively Analyze DataLike its bestselling
predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide …

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition
continues to provide a straightforward description of how to conduct various statistical …

A common objective in exploratory multivariate analysis is to identify a subset of the
variables which conveys the main features of the whole sample. Analysis of a well-known …

Automatic (machine) recognition, description, classification, and grou**s of patterns are
important problems in a variety of engineering and scientific disciplines such as biology …

Standard clustering algorithms can completely fail to identify clear cluster structure if that
structure is confined to a subset of the variables. A forward selection procedure for …

The present study sought to examine the role of social support and group cohesion in the
compliance behavior of females required to exercise for health-related reasons. Compliance …

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a
variety of statistical methods can be used to analyse data collected by psychologists and …