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Estimating partial linear single index model by MAVE and two stage estimation procedures | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 213، دوره 13، شماره 1، خرداد 2022، صفحه 2609-2616 اصل مقاله (919.76 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6063 | ||
| نویسندگان | ||
| Huda Yahya Ahmed؛ Munaf Yousif Hmood* | ||
| Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq | ||
| تاریخ دریافت: 13 اردیبهشت 1400، تاریخ بازنگری: 20 تیر 1400، تاریخ پذیرش: 28 مهر 1400 | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| PLSIM؛ MAVE؛ Two Stage Procedure؛ Local Linear Smoother؛ ROT | ||
| مراجع | ||
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