PAKISTAN JOURNAL OF STATISTICS, vol.26, no.1, pp.49-68, 2010 (Journal Indexed in SCI)
Modified maximum likelihood estimators of the parameters in a second order polynomial regression model are derived. They are shown to be considerably more efficient and robust than the commonly used least squares estimators. Real life examples are given.