Recurrence relations for bivariate t and extended skew-t distributions and an application to order statistics from bivariate t
In this paper, we derive recurrence relations for cumulative distribution functions (cdf's) of bivariate t and extended skew-t distributions. These recurrence relations are over [nu] (the degrees of freedom), and starting from the known results for [nu]=1 and [nu]=2, they will allow for the recursive evaluation of the distribution function for any other positive integral value of [nu]. Then, we consider a linear combination of order statistics from a bivariate t distribution with an arbitrary mean vector and show that its cdf is a mixture of cdf's of the extended skew-t distributions. This mixture form, along with the explicit expressions of the cdf's of the extended skew-t distributions, enables us to derive explicit expressions for the cdf of the linear combination for any positive integral value of [nu].
Year of publication: |
2009
|
---|---|
Authors: | Jamalizadeh, A. ; Mehrali, Y. ; Balakrishnan, N. |
Published in: |
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 53.2009, 12, p. 4018-4027
|
Publisher: |
Elsevier |
Saved in:
Saved in favorites
Similar items by person
-
Jamalizadeh, A., (2009)
-
Jamalizadeh, A., (2010)
-
Jamalizadeh, A., (2010)
- More ...