A Skewed Model Combining Triangular and Exponential Features: The Two-faced Distribution and its Statistical Properties

Authors

  • Maurizio Brizzi University of Bologna, Italy

DOI:

https://doi.org/10.17713/ajs.v35i4.355

Abstract

A new continuous distribution model is introduced, joining triangular and exponential features, respectively on the left and right side of a hinge point. The cumulative distribution function is derived, as well as the first three moments. Expected values and the Pearson index of skewness are tabulated. A possible step-by-step approach to parameter estimation is outlined. An application to Italian geographical data is given, referring to a set of municipalities classified by population, showing a very satisfactory goodness of fit.

References

Johnson, N. L. (1997). The triangular distribution as a proxy for the beta distribution in risk analysis. The Statistician, 46, 387-398.

Johnson, N. L., and Kotz, S. (1999). Non-smooth sailing or triangular distributions revisited after some 50 years. The Statistician, 48, 179-187.

Van Dorp, J. R., and Kotz, S. (2002a). The standard two-sided power distribution and its properties; with applications in financial engineering. The American Statistician, 56, 90-99.

Van Dorp, J. R., and Kotz, S. (2002b). A novel extension of triangular distribution and its parameter estimation. The Statistician, 51, 63-79.

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Published

2016-04-03

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Section

Articles

How to Cite

A Skewed Model Combining Triangular and Exponential Features: The Two-faced Distribution and its Statistical Properties. (2016). Austrian Journal of Statistics, 35(4), 455–462. https://doi.org/10.17713/ajs.v35i4.355