Akademik Veri Yönetim Sistemi
PAKISTAN JOURNAL OF STATISTICS, cilt.26, ss.49-68, 2010 (SCI İndekslerine Giren Dergi)
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.