Density estimation is a fundamental component in statistical analysis, aiming to infer the probability distribution of a random variable from a finite sample without imposing restrictive parametric ...

The local linear smoother usually gives better performance than the Nadaraya-Watson smoother. An exception is the case of data sparsity. Here we discuss a modification of the Nadaraya--Watson smoother ...

This is a preview. Log in through your library . Abstract A method is proposed for creating a smooth kernel density estimate from a sample of binned data. Simulations indicate that this method ...