If a random variable has a chi-squared
distribution with
degrees of freedom (
) and a random variable
has a chi-squared
distribution with
degrees of freedom (
), and
and
are independent, then
|
(1)
|
is distributed as Snedecor's -distribution with
and
degrees of freedom
|
(2)
|
for .
The raw moments are
|
(3)
| |||
|
(4)
| |||
|
(5)
| |||
|
(6)
|
so the first few central moments are given by
|
(7)
| |||
|
(8)
| |||
|
(9)
|
and the mean, variance, skewness, and kurtosis excess are
|
(10)
| |||
|
(11)
| |||
|
(12)
| |||
|
(13)
|
The characteristic function can be computed, but it is rather messy and involves the generalized
hypergeometric function .
Letting
|
(14)
|
gives a beta distribution (Beyer 1987, p. 536).