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stable random variable
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(Definition)
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A real random variable defined on a probability space
is said to be stable if
is not trivial; that is, the range of the distribution function of strictly includes
, and
- given any positive integer
and
independent random variables, identically distributed as , then the distribution function of the sum
is of the same type as that of . In notation,
.
Furthermore, is strictly stable if is stable and, (defined above) and belong to the same scale family.
A distribution function is said to be stable (strictly stable) if it is the distribution function of a stable (strictly stable) random variable.
Remarks.
- If
is stable, then is stable for any
.
- If
and are independent, stable, and of the same type, then is stable.
is stable iff for any independent , identically distributed as , and any
, there exist
such that and are identically distributed.
- A stable distribution function is absolutely continuous and infinitely divisible.
Some common stable distribution functions are the normal distributions, Poisson distributions, Cauchy distributions, and (central) Chi-squared distributions.
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"stable random variable" is owned by CWoo.
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(view preamble)
| Also defines: |
stable distribution function, strictly stable random variable, strictly stable distribution function |
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Cross-references: Cauchy distributions, Poisson distributions, normal distributions, infinitely divisible, iff, type, scale family, sum, identically distributed, independent, integer, positive, strictly, distribution function, range, probability space, random variable, real
There is 1 reference to this entry.
This is version 9 of stable random variable, born on 2006-11-24, modified 2006-11-25.
Object id is 8584, canonical name is StableRandomVariable.
Accessed 1268 times total.
Classification:
| AMS MSC: | 60E07 (Probability theory and stochastic processes :: Distribution theory :: Infinitely divisible distributions; stable distributions) |
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Pending Errata and Addenda
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