Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
Some studies of the bootstrap have assessed the effect of smoothing the estimated distribution that is resampled, a process usually known as the smoothed bootstrap. Generally, the smoothed ...
This is a preview. Log in through your library . Abstract A class of data-based bandwidth selection procedures for kernel density estimation is investigated. These ...
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