Compared of estimating two methods for nonparametric function to cluster data for the white blood cells to leukemia patients
DOI:
https://doi.org/10.33095/jeas.v23i97.317Keywords:
البيانات العنقودية ، الطريقة المقدرات اللبية غير المرتبطة ظاهريا، وطريقة المربعات الصغرى المعممة لمقدرات الشريحة التمهيدية، MSE،MAE, cluster data, the seemingly unrelated Kernel Estimators method, and the Generalized Least Squares Smoothing Spline Estimators method, MSE, MAE.Abstract
Abstract:
We can notice cluster data in social, health and behavioral sciences, so this type of data have a link between its observations and we can express these clusters through the relationship between measurements on units within the same group.
In this research, I estimate the reliability function of cluster function by using the seemingly unrelated Kernel Estimators method and the Generalized Least Squares Smoothing Spline Estimators method, and I applied these two methods on Leukemia patients and made a comparison between the two methods by using MSE and MAE comparison standard, the empirical results showed the efficiency of the Generalized Least Squares Smoothing Spline Estimators method.
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