Abstract
This chapter introduces some basic probability distributions useful in statistics. The gamma distribution, in particular, is the building block of many other distributions such as chi-square, F, and Dirichlet. The Dirichlet distribution, as defined in Section 3.3, has the important physical interpretation of proportion of time waited in a Poisson process. However, it has other applications such as the distribution of spacing variables (v. Problem 3.5.3) and the distribution theory (v. Section 4.5) related to spherical distributions, which play an important role in robustness.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 1999 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(1999). Gamma, Dirichlet, and F distributions. In: Theory of Multivariate Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22616-3_3
Download citation
DOI: https://doi.org/10.1007/978-0-387-22616-3_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98739-2
Online ISBN: 978-0-387-22616-3
eBook Packages: Springer Book Archive