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Date: 18-4-2021
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The doubly noncentral -distribution describes the distribution
for two independently distributed noncentral chi-squared variables
and
(Scheffe 1959, Bulgren 1971). If
, this becomes the usual (central) F-distribution, and if
, it becomes the singly noncentral
-distribution. The case
gives a special case of the doubly noncentral distribution.
The probability density function of the doubly noncentral -distribution is
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(1) |
and the distribution function by
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(2) |
where is a beta function and
is a hypergeometric function. The
th raw moment is given analytically as
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(3) |
The singly noncentral -distribution is given by
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(4) |
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(5) |
where is the gamma function,
is the beta function, and
is a generalized Laguerre polynomial. It is implemented in the Wolfram Language as NoncentralFRatioDistribution[n1, n2, lambda].
The th raw moment of the singly noncentral
-distribution is given analytically as
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(6) |
The first few raw moments are then
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(7) |
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(8) |
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(9) |
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(10) |
and the first few central moments are
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(11) |
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(12) |
The mean and variance are therefore given by
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(13) |
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(14) |
REFERENCES:
Patnaik, P. B. "The Non-Central - and
-Distributions and Their Applications." Biometrika 36, 202-232, 1949.
Bulgren, W. G. "On Representations of the Doubly Non-Central Distribution." J. Amer. Stat. Assoc. 66, 184, 1971.
Scheffé, H. The Analysis of Variance. New York: Wiley, pp. 135 and 415, 1959.
Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference & the Linear Model, 6th ed. New York: Oxford University Press, p. 893, 1999.
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