The Open UniversitySkip to content

The t family and their close and distant relations

Jones, M. C. (2008). The t family and their close and distant relations. Journal of the Korean Statistical Society, 37(4) pp. 293–302.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Student’s t distribution arose as a normal-based sampling distribution and has huge application as such. In modern times, the t distribution has also found considerable use as a symmetric heavy-tailed distribution for empirical data modelling. In this the centenary year of Student’s introduction of the t distribution, this paper constitutes a personal–and sometimes somewhat tangential–tribute to the Student-t family of distributions, by way of an exploration of some of its close and not-so-close relations. I start with a brief reminder of the (symmetric) Student-t family, with particular focus on the t distribution on two degrees of freedom which turns out to play an important role in what follows. The “close relations” of the t distribution include a number of ‘skew-t’ distributions, of which I shall briefly introduce and comment on three. The “distant relations” of the t distribution are a further trio of four-parameter families of distributions allowing control of skewness and tailweights, with particular emphasis on members of the families with (t-like) ‘power’ density tails.

Item Type: Article
ISSN: 1226-3192
Keywords: exponential tails; heavy-tailed distribution; order statistics; power tails; sinh–arcsinh; skew-t distribution; student
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 17667
Depositing User: Colin Smith
Date Deposited: 09 Jul 2009 11:21
Last Modified: 04 Oct 2016 10:26
Share this page:


Scopus Citations

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340