Compared of Estimating Two Methods for Nonparametric Function to Cluster Data for the White Blood Cells to Leukemia Patients

Authors

• Saja Mohammad Hussein, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Hala Kazem Obeid, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

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.

DOI

10.33095/jeas.v23i97.317

Subject Area

Statistical

First Page

394

Last Page

419

Recommended Citation

Hussein, S. M., & Obeid, H. K. (2017). Compared of Estimating Two Methods for Nonparametric Function to Cluster Data for the White Blood Cells to Leukemia Patients. Journal of Economics and Administrative Sciences, 23(97), 394-419. https://doi.org/10.33095/jeas.v23i97.317