Titlebook: Homogeneous Denumerable Markov Processes; Hou Zhenting,Guo Qingfeng Book 1988 Springer-Verlag Berlin Heidelberg and Science Press Beijing

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书目名称Homogeneous Denumerable Markov Processes影响因子(影响力)




书目名称Homogeneous Denumerable Markov Processes影响因子(影响力)学科排名




书目名称Homogeneous Denumerable Markov Processes网络公开度




书目名称Homogeneous Denumerable Markov Processes网络公开度学科排名




书目名称Homogeneous Denumerable Markov Processes被引频次




书目名称Homogeneous Denumerable Markov Processes被引频次学科排名




书目名称Homogeneous Denumerable Markov Processes年度引用




书目名称Homogeneous Denumerable Markov Processes年度引用学科排名




书目名称Homogeneous Denumerable Markov Processes读者反馈




书目名称Homogeneous Denumerable Markov Processes读者反馈学科排名

外观

Martin Exit Boundary Theoryboundary theory for general Markov chains has not been established. Moreover, some subjects involved in the exit boundary theory have not been studied in detail. For example, only definitions of the atomic exit point and the nonatomic exit point are given, but no effective criteria. The aim of the present chapter is:

法律的瑕疵

Book 1988lts are published for the first time. Two new methods are given: one is the minimal nonnegative solution, the second the limit transition method. With the help of these two methods, the authors solve many important problems in the framework of denumerable Markov processes.

Morphine

f the results are published for the first time. Two new methods are given: one is the minimal nonnegative solution, the second the limit transition method. With the help of these two methods, the authors solve many important problems in the framework of denumerable Markov processes.978-3-642-68129-5978-3-642-68127-1

野蛮

Qualitative Theorye know that such a .-process is not unique, then how can we construct all such .-processes? If we distinguish qualitative and quantitative points of view, the above Problems (A) and (B) are qualitative problems, while Problem (C) is quantitative.

Anthrp

expeditious

真实的你

persistence

提名

https://doi.org/10.1007/978-3-642-68127-1Kernel; Markov; Markov chain; Markov process; Moment; Random variable; Rang; probability; probability theory