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Date: 6-3-2021
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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) |
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(4) |
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(5) |
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(6) |
so the first few central moments are given by
(7) |
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(8) |
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(9) |
and the mean, variance, skewness, and kurtosis excess are
(10) |
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(11) |
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(12) |
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(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).
REFERENCES:
Beyer, W. H. CRC Standard Mathematical Tables, 28th ed. Boca Raton, FL: CRC Press, p. 536, 1987.
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