Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.