NO610
发表于 2025-3-21 18:35:07
书目名称Markov Chain Models — Rarity and Exponentiality影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0624611<br><br> <br><br>书目名称Markov Chain Models — Rarity and Exponentiality读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0624611<br><br> <br><br>
Cirrhosis
发表于 2025-3-21 23:52:02
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危机
发表于 2025-3-22 01:40:42
Introduction and Summary,ation time distributions and their moments are of typical interest. Applications are oriented largely to reliability theory and inventory theory, but the methods apply as well to other branches of applied probability.
闪光你我
发表于 2025-3-22 04:50:37
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Pessary
发表于 2025-3-22 11:12:37
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Inkling
发表于 2025-3-22 15:31:23
The Fundamental Matrix, and Allied Topics,defined on the chain N(t). It also plays a key role in the central limit theorem for additive processes defined on the chain, in ergodic potential theory,. and in perturbation theory for Markov chains.
Adenoma
发表于 2025-3-22 19:38:36
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Implicit
发表于 2025-3-22 21:44:26
Rarity and Exponentiality,g purposes, it is essential to quantify departure from exponentiality via error bounds. When one is dealing with time-reversible chains e.g., systems with independent Markov components, the complete monotonicity present permits such quantification and the error bounds needed.
accrete
发表于 2025-3-23 03:07:32
More on Time-Reversibility; Potential Coefficients; Process Modification,ion of time-reversibility to transient chains and “lossy” chains. Time-reversible processes may be modified in a variety of ways without destroying the reversibility. The modified process is often of interest in its own right or is of primary interest. The last section introduces replacement processes, of special interest.
Apogee
发表于 2025-3-23 08:43:08
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