Work

A Nonparametric Hypothesis Test Via the Bootstrap Resampling

Year: 2001

Type: preprint

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.

Source: RePEc: Research Papers in Economics

DOI: 10.22004/ag.econ.20600

Authors: Temel, Tugrul T., Temel, Tugrul T.

Institution: Tilburg University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1672394599

Cites: 29

Cited by:

Related to: 10