Titlebook: Probability Theory; Independence Interch Yuan Shih Chow,Henry Teicher Textbook 19781st edition Springer-Verlag New York Inc. 1978 Probabili

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書目名稱Probability Theory影響因子(影響力)




書目名稱Probability Theory影響因子(影響力)學(xué)科排名




書目名稱Probability Theory網(wǎng)絡(luò)公開度




書目名稱Probability Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Probability Theory被引頻次




書目名稱Probability Theory被引頻次學(xué)科排名




書目名稱Probability Theory年度引用




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書目名稱Probability Theory讀者反饋




書目名稱Probability Theory讀者反饋學(xué)科排名

不能平靜

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

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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

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–FER

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

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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

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