A comparison study between three different Kernel estimators for the Hazard rate function
Abstract
![[0,\infty)](http://siba-ese.unile.it/plugins/generic/latexRender/cache/5b76f27126afc66b22df30bfbd2ae76a.png)
References
Cox, D.: Oakes, D.: Analysis of survival data, Chapman and Hall, (1984).
Chen, S.X.: Probability density function estimation using gamma kernels, Ann. Inst.
Stat. Math,52,471-480,(2000).
Loprinzi, C.L.: Laurie, J.A.: Et al.,.: Prospective evaluation of prognostic vari-
ables from patient-completed questionnaires, Journal of Clinical Oncology, 12(3):601-
, (1994).
Salha, R.: Estimating the Density and Hazard Rate Functions Using Reciprocal
Inverse Gaussian Kernel, ASMDA conference, Barcelona, 25-28, (2013).
Salha, R.: Hazard rate function estimation using inverse Gaussian kernel, The
Islamic university of Gaza journal of Natural and Engineering studies,20(1), 73-
,(2012).
Salha, R.: Adaptive kernel estimation of the hazard rate function, The Islamic
university of Gaza Journal of Natural and Engineering studies, 17(1), 71-81, (2009).
Scaillet, O.: Density estimation using inverse and reciprocal inverse Gaussian
kernels, Nonparametric Statistics, 16, 217-226, (2004).
Silverman, B.: Density Estimation for Statistics and Data analysis, Chapman and
Hall, (1986).
Watson, G.: Leadbetter, M.: Hazard analysis I, Biometrika, 51, 175-184, (1995).
Full Text: pdf