Random Effects Linear Models for Process Mean and Variance

摘要

We consider random effects models for both the mean and variance of a process where some variations in both the mean and variance can be explained by their related covariate effects.Empirical Bayes procedures of the Phase V sensors of the tactical remote sensor of the U.S.Marine Corps in terms of their mean and variance of detection distance with respect to target types and sensitivity levels of a sensor