A kernel estimator uses an explicitly defined set of weights at each point x to produce the estimate at x. The kernel estimator of f has the form where W is the weight function that depends on the ...

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 One well-known use of kernel density estimates is in nonparametric discriminant analysis, and its popularity is evident in its implementation ...