Customer perceptions of your company's brand are complex and difficult to predict because of the variety of factors involved. Multivariate analysis uses statistical tools such as multiple regression ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

The Annals of Mathematical Statistics, Vol. 24, No. 2 (Jun., 1953), pp. 220-238 (19 pages) In this paper two closely related heuristic principles of test construction (to be explained in Section 3), ...

Multivariate analysis of cognitive tests in Alzheimer's disease identifies five distinct groups of Alzheimer's disease patients, and suggests that multivitamins might slow progression only in certain ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of human ...

Current interest in multivariate analysis in biometrics and other areas of applied statistics must inevitably lead to a scrutiny of the robustness of the procedure ...

This multivariate analysis also suggested the presence of previously unrecognized subclusters within the favorable prognosis category, indicating the potential for finer risk stratification.

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 ...