Garfield
发表于 2025-3-21 16:28:05
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不能平静
发表于 2025-3-21 20:56:07
Independence,dependent development. In the course of this evolution, probability theory has been fortified by its links with the real world, and indeed the definition of independence is the abstract counterpart of a highly intuitive and empirical notion. Independence of random variables {..}, the definition of w
陈旧
发表于 2025-3-22 00:40:29
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进取心
发表于 2025-3-22 07:55:39
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jabber
发表于 2025-3-22 11:45:53
Distribution Functions and Characteristic Functions,rems of interest are geared to d.f.s of r.v.s and the majority of proofs are simpler and more intuitive when couched in terms of r.v.s having, or probability measures determined by, the given d.f.s. Since r.v.s possessing preassigned d.f.s can always be defined on some probability space, the languag
报复
发表于 2025-3-22 14:00:13
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–FER
发表于 2025-3-22 18:33:21
Limit Theorems for Independent Random Variables,e available when the underlying random variables are merely independent and have recently been obtained for the strong law as well. Unfortunately, the practicality of the latter conditions leaves much to be desired.
ANTIC
发表于 2025-3-23 00:49:33
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Infuriate
发表于 2025-3-23 03:14:38
Infinitely Divisible Laws,.v.s, say {X.,. ≥ 1} have merely absolute moments of order ., then for . ≥ 2 only the normal distribution can arise as a limit, while if 0 < . ≤ 2, the limit law belongs to a class called stable distributions. If the basic r.v.s are merely independent (and infinitesimal when normed cf. (1) of Sectio
与野兽博斗者
发表于 2025-3-23 06:58:54
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