@article{MAKHILLJEAS201914117316,
    title = {Density Estimation for Right Censored Data Using Hybrid Breslow and
Semi-Symmetric Wavelet},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {1},
    pages = {242-246},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.242.246},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.242.246},
    author = {Iden and},
    keywords = {wavelet methods,multiresolutionanalysis,censored data,cumulative functions,Breslow estimator,density estimation},
    abstract = {This paper introduce a wavelet method estimator of the density function based on the  projection property of the father wavelet functions   <img src="http://medwelljournals.com/images/img1-2k19-242-246.gif" align="absmiddle">on the subspace  <img src="http://medwelljournals.com/images/img2-2k19-242-246.gif" align="absmiddle">  for non-parametric randomly censoring data, with assuming that the density function belong to    L<sup>2</sup>(R) has no specific parametric distribution. The technique using coiflet (coifN, N=1,2,&#133;,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.}
    }