Generalized least squares estimators for covariance parameters for credibility regression models with moving average errors

Weighted least squares methods are developed for the estimation of variance–covariance parameters of credibility regression models with moving average dependent errors. timators proposed are shown to be useful for constructing empirical Bayes estimators and credibility type estimators. Numerical examples are included to illustrate the proposed methods.