Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
This paper introduce a wavelet method estimator of the density function based on the projection property of the father wavelet functions 
on the subspace 
for non-parametric randomly censoring data, with assuming that the density function belong to L2(R) has no specific parametric distribution. The technique using coiflet (coifN, N=1,2,…,9) wavelet which is semi-symmetric orthogonal and Breslow estimator for finding the cumulative function. To compare and determine the best results using the mean square error (MSE) for estimating the density function of real right censoring data of 214 patients called home nursing data.
How to cite this article:
Iden Hussein and Ali Talib Mohammed. Density Estimation for Right Censored Data Using Hybrid Breslow and
Semi-Symmetric Wavelet.
DOI: https://doi.org/10.36478/jeasci.2019.242.246
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.242.246