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Markov Skeleton Processes and Their Applications实用数学手册(第2版)
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Markov Skeleton Processes and Their Applications实用数学手册(第2版)

  • 作者:
  • 出版社:科学出版社
  • ISBN:9787030163417
  • 出版日期:1900年01月01日
  • 页数:214
  • 定价:¥80.00
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    • 出版社
    • ISBN
      9787030163417
    • 作者
    • 页数
      214
    • 出版时间
      1900年01月01日
    • 定价
      ¥80.00
    • 所属分类
    内容提要
    Hhis book deals with the theory of Markov skeleton processes developed by authors and provides a systemeetic basis for the study of a variety of important stochastic processes including the GI/G/1process in queueing theory and piecewise deterministic Markov processes.Authors also use a lot of spplications of Markov sdeleton processes to queueing theory,inventory theory and risk theory.Most results in this book are published for the first time.
    This book is sutiatle for graduate studients who ha
    目录
    Chapter 1 Markov Skeleton Processes
    1.1 Concept to Markov Skeleton Processes
    1.2 Backward and Forward Equations
    1.3 Regularit Criteria
    1.4 Finite Dimension Distribution
    1.5 Limit Distribtion
    1.6 Generalized Limit Distribution and Invariant Probability Measure
    1.7 Supplements and Notes
    Chapter 2 Piecewise Deterministic Markov Sheleton Process
    2.1 Definitions and Properties
    2.2 Backward and Forward Equations and Regulatity
    2.3 Distribution and Moment of First Arrival Time
    2.4 Necessary and Sufficient Condition to Be a Markov Process
    2.5 Markov Modelling and Supplementary Variables
    2.6 Supplements and Notes
    Chapter 3 Piecewise Deterministic Markov Processes
    3.1 Fudamental Definitions and Properties
    3.2 Extended Generator with Discrete Part
    ……
    Chapter 4 GI/G/1Queueing Systems
    Chapter 5 Some Result on Inventory and Reliability Theory
    Chapter 5 Ruin Probability in the Continuous-Time Compound Binomial Model
    Appendix A Elementary Knowledge
    Appendix B Jump Processes and Their Martingales
    Appendix C Ergodicity of Markov Processes and Markov Chains
    Bibliography
    Index

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