Estimating partial linear single index model by MAVE and two stage estimation procedures

Document Type : Research Paper


Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq


This research aims to estimate the partial linear single index model by using minimum average variance estimation (MAVE) and two stage estimation Procedures. We analyzed the creatinine ratio in blood data in order to determine the effects of different variables on renal failure. Mean squared error criterion (MSE) was used to compare between these methods, with reference to the use of the rule of thumb (ROT) method to estimate the smoothing parameter.