A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions

null null To properly characterize a spatio-temporal random process, it is necessary to understand the process’ dependence structure. It is common to describe this dependence using a single random error having a complicated covariance. Instead of using the single random error approach, we describe spatio-temporal random processes using linear mixed models having several random errors; each random error describes a specific quality of the...