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Nonparametric estimation of distribution functions
Authors:S Wang
Institution:(1) Department of Statistics, Texas A&M University, 77843-3143 College Station, TX, USA
Abstract:Summary Using Silverman and Young’s (1987) idea of rescaling a rescaled smoothed empirical distribution function is defined and investigated when the smoothing parameter depends on the data. The rescaled smoothed estimator is shown to be often better than the commonly used ordinary smoothed estimator.
Keywords:distribution function  empirical distribution function  kernel method  smoothing parameter
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