An Epsilon Half Normal Slash Distribution and Its Applications to Nonnegative Measurements


We introduce a new class of the slash distribution using the epsilon half normal distribution. The newly defined model extends the slashed half normal distribution and has more kurtosis than the ordinary half normal distribution. We study the characterization and properties including moments and some measures based on moments of this distribution. A simulation is conducted to investigate asymptotically the bias properties of the estimators for the parameters. We illustrate its use on a real data set by using maximum likelihood estimation.

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W. Gui, P. Chen and H. Wu, "An Epsilon Half Normal Slash Distribution and Its Applications to Nonnegative Measurements," Open Journal of Optimization, Vol. 2 No. 1, 2013, pp. 1-8. doi: 10.4236/ojop.2013.21001.

Conflicts of Interest

The authors declare no conflicts of interest.


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