1998
DOI: 10.1006/jmva.1998.1750
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The Probability Content of Cones in Isotropic Random Fields

Abstract: This paper provides computable representations for the evaluation of the probability content of cones in isotropic random fields. A decomposition of quadratic forms in spherically symmetric random vectors is obtained and a representation of their moments is derived in terms of finite sums. These results are combined to obtain the distribution function of quadratic forms in spherically symmetric or central elliptically contoured random vectors. Some numerical examples involving the sample serial covariance are … Show more

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Cited by 6 publications
(3 citation statements)
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“…It is easy to see that the random variable Z can equally be written as Z =X ΣX whereX ∼ Z E C(I, ϕ). The density of Z with this representation has already been reported in [47]:…”
Section: Kl-divergence Between Zeg Distributionsmentioning
confidence: 65%
See 1 more Smart Citation
“…It is easy to see that the random variable Z can equally be written as Z =X ΣX whereX ∼ Z E C(I, ϕ). The density of Z with this representation has already been reported in [47]:…”
Section: Kl-divergence Between Zeg Distributionsmentioning
confidence: 65%
“…The moments of Λ were computed in [47], but we are giving a simple derivation of the first moment below. It is known that the random variable V i = N 2 i / ∑ d j=1 N 2 j has the following beta distribution:…”
Section: Kl-divergence Between Zeg Distributionsmentioning
confidence: 99%
“…The PDF (4.16) is a piecewise polynomial of degree n − 2 in x. Such a simple structure is to be contrasted with the PDF of the random quadratic form xBx † , where x is a real random vector sampled uniformly at random from the sphere in R n [31,28], which is a far more complicated function of x.…”
Section: 16)mentioning
confidence: 99%