Title of article
Estimating partial linear single index model by MAVE and two stage estimation procedures
Author/Authors
Ahmed, Huda Yahya Department of Statistics - College of Administration and Economics - University of Baghdad, Iraq , Yousif Hmood, Munaf Yousif Department of Statistics - College of Administration and Economics - University of Baghdad, Iraq
Pages
8
From page
2609
To page
2616
Abstract
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.
Keywords
PLSIM , MAVE , Two Stage Procedure , Local Linear Smoother , ROT
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2022
Record number
2713808
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