Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...

The nested bootstrap is a computer-intensive technique for reducing the statistical error in the ordinary bootstrap. We show how the Monte Carlo technique of ...

This is a preview. Log in through your library . Abstract We show that, when the double bootstrap is used to improve performance of bootstrap methods for bias correction, techniques based on using a ...