By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalizedleastsquaresestimator is investigated.
This paper studies linear regression models with dependent errors, and we introduce the jackknifed leastsquaresestimator and generalized jackknife leastsquaresestimator.