Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

In this paper, the technique known as "elemental analysis", developed by Newton and Surrell (1967), is extended to the multivariate case. It is shown that the use of elements aids in the selection of ...

The assumption of multivariate normality (MVN) underlies many important techniques in multivariate analysis. In the past 50 years, over 50 tests of this assumption have been proposed. However, for ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Treatment of germ cell cancer with two cycles of high-dose ifosfamide, carboplatin, and etoposide with autologous stem-cell support. Three hundred ten patients treated with HDCT at four centers in the ...