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A generalised Student’s t-distribution

Author

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  • Papastathopoulos, Ioannis
  • Tawn, Jonathan A.

Abstract

We introduce a natural extension of the Student’s t-distribution that also allows for a negative shape parameter or more commonly referred to as the degrees of freedom of this distribution. This distribution unifies all types of tail decay and allows extra flexibility in the kurtosis of the t-distribution. We illustrate the use of this distribution with an application to pharmaceutical data.

Suggested Citation

  • Papastathopoulos, Ioannis & Tawn, Jonathan A., 2013. "A generalised Student’s t-distribution," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 70-77.
  • Handle: RePEc:eee:stapro:v:83:y:2013:i:1:p:70-77
    DOI: 10.1016/j.spl.2012.09.002
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    References listed on IDEAS

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    1. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    2. Stephen Walker, 1999. "The uniform power distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 509-517.
    3. McDonald, James B. & Newey, Whitney K., 1988. "Partially Adaptive Estimation of Regression Models via the Generalized T Distribution," Econometric Theory, Cambridge University Press, vol. 4(03), pages 428-457, December.
    4. Kotz,Samuel & Nadarajah,Saralees, 2004. "Multivariate T-Distributions and Their Applications," Cambridge Books, Cambridge University Press, number 9780521826549, April.
    5. Adelchi Azzalini & Antonella Capitanio, 2003. "Distributions generated by perturbation of symmetry with emphasis on a multivariate skew "t"-distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 367-389.
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    Cited by:

    1. Nadarajah, Saralees & Afuecheta, Emmanuel & Chan, Stephen, 2013. "A double generalized Pareto distribution," Statistics & Probability Letters, Elsevier, vol. 83(12), pages 2656-2663.

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