Smoothing methodology with applications to nonparametric statistics
The work in this thesis is based on kernel smoothing techniques with applications to nonparametric statistical methods and especially kernel density estimation and nonparametric regression. We examine a bootstrap iterative method of choosing the smoothing parameter, in univariate kernel density esti...
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University of Manchester
2011
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528527 |