Nonparametric estimation of distribution functions |
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| Authors: | S. Wang |
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| Affiliation: | (1) Department of Statistics, Texas A&M University, 77843-3143 College Station, TX, USA |
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| 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. |
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| Keywords: | distribution function empirical distribution function kernel method smoothing parameter |
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