Titlebook: Branching Processes; Krishna B. Athreya,Peter E. Ney Book 1972 Springer-Verlag Berlin Heidelberg 1972 Branching process.Galton-Watson proc

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书目名称Branching Processes影响因子(影响力)学科排名




书目名称Branching Processes网络公开度




书目名称Branching Processes网络公开度学科排名




书目名称Branching Processes被引频次




书目名称Branching Processes被引频次学科排名




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书目名称Branching Processes年度引用学科排名




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书目名称Branching Processes读者反馈学科排名

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Book 1972haracter of the pro­ cess, etc. We have tried to avoid the rather uneconomical and un­ enlightening approach of treating these categories independently, and by a series of similar but increasingly complicated techniques. The basic Galton-Watson process is developed in great detail in Chapters I and

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Book 1972. Harris (Theory of Branching Processes, Springer, 1963) the subject has developed and matured significantly. Many of the classical limit laws are now known in their sharpest form, and there are new proofs that give insight into the results. Our work deals primarily with this decade, and thus has ve

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0072-7830 ook of T E. Harris (Theory of Branching Processes, Springer, 1963) the subject has developed and matured significantly. Many of the classical limit laws are now known in their sharpest form, and there are new proofs that give insight into the results. Our work deals primarily with this decade, and t

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One Dimensional Continuous Time Markov Branching Processes,cles at time . This process will in general not be Markovian, unless the lifetimes are independent, exponentially distributed random variables. It is the latter process which we will study in this chapter. The general non-Markovian case will be considered in Chapter IV.

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One Dimensional Continuous Time Markov Branching Processes,iables. Instead of the discrete time Markov chain {.; . =0,1,2,…} of Chapter I, we must consider a process {.(.); .≥0}, where .(.)=the number of particles at time . This process will in general not be Markovian, unless the lifetimes are independent, exponentially distributed random variables. It is

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