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The “forward search” (FS) is a powerful general method for identifying outliers and their effects on the fitted model. The present study investigates the implementation of the FS method to identify outliers in nonparametric univariate density estimation framework, where the training sample is from a unimodal continuous distribution. The performance of this procedure has been illustrated by some simulation...
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