Growth in availability and ability of modern statistical software has resulted in greater numbers of research techniques being applied across the marketing discipline. However, with such advances come concerns that techniques may be misinterpreted by researchers. This issue is critical since misinterpretation could cause erroneous findings. This paper investigates some assumptions regarding: 1)...

in this study multivariate statistical analysis are used to characterize relationships between hydrochemical properties ofthermal and non-thermal springs. four factors for thermal waters and two for non-thermal springs were extracted basedon factor analysis. in thermal springs, the first factor showed high loading on ca, mg, na and k and this factor wasinterpreted as leaching of cations in the ...

This article approaches the problem of selecting significant principal components from a Bayesian model selection perspective. The resulting Bayes rule provides a simple graphical technique that can be used instead of (or together with) the popular scree plot to determine the number of significant components to retain. We study the theoretical properties of the new method and show, by examples ...

Matrix approximation problems with non-negativity constraints arise during the analysis of high-dimensional non-negative data. Applications include dimensionality reduction, feature extraction and statistical factor analysis. This paper discusses a general algorithm for solving these problems with respect to a large class of error measures. The primary goal of this article is to develop a rigor...