OJS  Vol.2 No.3 , July 2012
The Permutation Test as an Ancillary Procedure for Comparing Zero-Inflated Continuous Distributions
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.
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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