Logo
Munich Personal RePEc Archive

A nonparametric hypothesis test via the Bootstrap resampling

Temel, Tugrul (2011): A nonparametric hypothesis test via the Bootstrap resampling.

[thumbnail of MPRA_paper_31880.pdf]
Preview
PDF
MPRA_paper_31880.pdf

Download (230kB) | Preview

Abstract

This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test. The paper also develops a Mathematica Code for the test algorithm.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.