Work

The Permutation Test as an Ancillary Procedure for Comparing Zero-Inflated Continuous Distributions

Year: 2012

Type: article

Abstract: Empirical estimates of power and Type I error can be misleading if a statistical test does not perform at the stated rejection level under the null hypothesis. We employed the permutation test to control the empirical type I errors for zero-inflated exponential distributions. The simulation results indicated that the permutation test can be used effectively to control the type I errors near the nominal level even the sample sizes are small based on four statistical tests. Our results attest to the permutation test being a valuable adjunct to the current statistical methods for comparing distributions with underlying zero-inflated data structures.

Source: Open Journal of Statistics

DOI: 10.4236/ojs.2012.23033

Authors: Jixiang Jixiang, Lei Zhang, William D Johnson

Institutions: South Dakota State University, Mississippi State Department of Health, Pennington Biomedical Research Center, Louisiana State University System

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1978313477

FWCI: 1.166

Cites: 16

Cited by: 6

Related to: 10