Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

A principal component analysis of a correlation matrix treats all variables as equally important. A principal component analysis of a covariance matrix gives more weight to variables with larger ...

This is a preview. Log in through your library . The purpose of The Annals of Probability is to publish contributions to the theory of probability and statistics and their applications. The emphasis ...

An important part of the identification and diagnostic checking of space-time ARMA models is the evaluation of the significance of the autocorrelations of the observations and residuals, respectively.

Why are the variable levels and patterns of genetic variation important? Knowledge about how traits vary can reveal the evolutionary dynamics that shape populations. Once researchers have determined ...