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

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DOI: 10.4236/ojs.2012.23033    4,026 Downloads   6,581 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

J. Jixiang, L. Zhang and W. Johnson, "The Permutation Test as an Ancillary Procedure for Comparing Zero-Inflated Continuous Distributions," Open Journal of Statistics, Vol. 2 No. 3, 2012, pp. 274-280. doi: 10.4236/ojs.2012.23033.

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