RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
This paper contrasts two model-based variance estimators for the simple regression estimator recently proposed in the literature. Both may be good estimators of the model variance as well as design consistent estimators of the design mean squared error. A third variance estimator that combines the strengths of the original two is also discussed.