吃掉 发表于 2025-3-23 11:19:39

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wangle 发表于 2025-3-23 14:33:46

The moments of first entrance time distributionsIf . =1, then the sequence {., .≧1} determines a discrete probability distribution called the .. (For . = . this has also already been called the recurrence time distribution of . in §6.) Thus for each ., . is the moment of order . of this distribution; for .=. this is the . defined in § 9. More generally, let . be the taboo set; we write

平躺 发表于 2025-3-23 20:21:18

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不出名 发表于 2025-3-24 01:08:35

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太空 发表于 2025-3-24 05:56:53

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FOVEA 发表于 2025-3-24 06:43:37

Further limit theoremsIn this section we give several more limit theorems about . including the central limit theorem and the law of the iterated logarithm. The state space . will now be assumed to be positive class, in fact except in Theorem 1 below the stronger assumption that .< ∞ for some and hence all . will be made.

懒洋洋 发表于 2025-3-24 14:11:54

978-3-642-49408-6Springer-Verlag Berlin Heidelberg 1960

intangibility 发表于 2025-3-24 16:20:52

Markov Chains with Stationary Transition Probabilities978-3-642-49686-8Series ISSN 0072-7830 Series E-ISSN 2196-9701

Exposure 发表于 2025-3-24 22:55:02

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GEAR 发表于 2025-3-24 23:57:26

Fundamental defintionson probabilities” so that the qualifying phrase in quotes will be understood. Finally, our discussion does not differentiate between a finite or a denumerably infinite number of states so that no special treatment is given to the former case.
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查看完整版本: Titlebook: Markov Chains with Stationary Transition Probabilities; Kai Lai Chung Textbook 1960 Springer-Verlag Berlin Heidelberg 1960 Markov chain.Ma