Author:
Mohammed Ali Talib,Hussein Iden Hasan
Abstract
Abstract
This article is a study of a non-parametric estimation of the hazard rate function using the linear wavelet estimation for right randomly censoring data. The strategy of the estimation is based on the use of the wavelet projection of the father function{φ
j,k
(x),j = 1,2,…, 0 ≤ k ≤2
j−1} on the subspace (Vj
) of the spaceL
2(R), with the Breslow estimate of the cumulative function. Real data of patients suffering from liver metastases is using as an application. Moreover, a simulation study is used to give more clarify to the method of estimation.
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