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

存貨清單

書目名稱Homogeneous Denumerable Markov Processes影響因子(影響力)




書目名稱Homogeneous Denumerable Markov Processes影響因子(影響力)學(xué)科排名




書目名稱Homogeneous Denumerable Markov Processes網(wǎng)絡(luò)公開度




書目名稱Homogeneous Denumerable Markov Processes網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Homogeneous Denumerable Markov Processes被引頻次




書目名稱Homogeneous Denumerable Markov Processes被引頻次學(xué)科排名




書目名稱Homogeneous Denumerable Markov Processes年度引用




書目名稱Homogeneous Denumerable Markov Processes年度引用學(xué)科排名




書目名稱Homogeneous Denumerable Markov Processes讀者反饋




書目名稱Homogeneous Denumerable Markov Processes讀者反饋學(xué)科排名

外觀

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

野蠻

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

真實(shí)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