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 ...

Nonparametric methodology for longitudinal data analysis is becoming increasingly popular. The analysis of multivariate longitudinal data, where data on several time courses are recorded for each ...

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 ...

The Annals of Applied Statistics, Vol. 15, No. 1 (March 2021), pp. 230-251 (22 pages) Inferring concerted changes among biological traits along an evolutionary history remains an important yet ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

New research uncovers over 1,300 genetic loci driving metabolic syndrome, revealing links to brain tissues and offering insights for tailored health strategies across populations. Study: Multivariate ...

This study examines empirically the volatility comovement between crude oil prices and key agricultural commodities for a series of shocks faced by the global economy. Using both a multivariate ...