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.

As a small-business leader, taking care of the bottom line is critical for growth, as well as for maintaining your current payroll and customers. Understanding sales price variance can help you ...

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 ...