Nonlinear wavelet regression function estimator for censored dependent data

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DC Field	Value	Language
dc.contributor.author	Fateh Benatia	-
dc.contributor.author	Djabrane Yahia	-
dc.date.accessioned	2014-04-11T15:36:38Z	-
dc.date.available	2014-04-11T15:36:38Z	-
dc.date.issued	2014-04-11	-
dc.identifier.uri	http://archives.univ-biskra.dz/handle/123456789/2274	-
dc.description.abstract	Abstract Let (Y;C;X) be a vector of random variables where Y; C and X are, respectively, the interest variable, a right censoring and a covariable (predictor). In this paper, we introduce a new nonlinear wavelet-based estimator of the regression function in the right censorship model. An asymptotic expression for the mean integrated squared error of the estimator is obtained to both continuous and discontinuous curves. It is assumed that the lifetime observations form a stationary α- mixing sequence. Link http://www.ajol.info/index.php/afst/article/view/83627	en_US
dc.subject	Censored data; Mean integrated squared error; Nonlinear wavelet-based esti-mator; Nonparametric regression; Strong mixing condition.	en_US
dc.title	Nonlinear wavelet regression function estimator for censored dependent data	en_US
dc.type	Article	en_US
Appears in Collections:	Publications Internationales

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