KEY BENEFIT: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-oriented introduction...
Multivariate Statistics in the Social Sciences: A Researcher's Guide
This text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous...
Analysis of messy data. 1. Designed experiments
In this monograph, The author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities like expectation, variance, moment generating function and covariance. These are built on the...
Analyzing data from experiments that yield large numbers of intercorrelated variables can be a daunting task. With hundreds or even thousands of separate numbers to inspect, analysts use special tools...
This classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping,...
Graphic Correlation
Multivariate Statistics for Nursing Research
Introductory concepts; Simple regression, linear and curvilinear; Multiple linear regressions; Multiple curvilinear regressions; Significance of correlation and regression results; Miscellaneous special regression methods; Uses and philosophy of correlation and regresion...