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到达间隔的英文

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"到达间隔"怎么读用"到达间隔"造句

英文翻译手机手机版

  • arrival interval

例句与用法

  • On markov property of the risk reserve processes and continuous - time risk models with discete - type inter - arrival times
    盈余过程的马氏性与索赔到达间隔分布为离散型的连续时间风险模型
  • In this paper , we consider a sparre andersen risk model with geometric distribution of claim inter - occurrence times . the claim size distribution can be a general discrete distribution
    本文研究了索赔到达间隔服从几何分布、索赔额分布为一般离散分布的sparreandersen风险模型。
  • In chapter 1 , we briefly reviewed the risk theory and its development . and the significance about this paper was expressed . in chapter 2 , we introduced classical risk model . in which , making this risk process into a strong markovian process is the preparation of deriving the main results . chapter 3 is the main body of the paper , we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time . the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time . we also take advantage of change of measure idea from it
    第二章介绍了经典风险模型,其中用逐段决定马尔可夫过程理论及补充变量技巧,使一类风险模型的盈余过程成为齐次强马尔可夫过程。第三章作为本文的主体部分,在索赔到达间隔服从亏时几何分布的连续时间风险模型中,索赔额分布为一般分布,它的破产概率可以利用pdmp中的广义生成算子得出鞅,通过调节系数的选择以及在相应测度下的测度变换,使得破产概率的一般解可以表示出来。
  • This paper includes three chapters . several elementary concepts of pdmp and the extended generator of pdmp are introduced in the first chapter . the classical risk model and the sparre andersen model are introduced in the second one . the third chapter is the main body of this paper in which the ruin problem of sparre andersen model with geometric distribution of claim inter - occurrence times is considered and the lundberg bound is derived
    本文共三章。第一章是预备知识,介绍了逐段决定马尔可夫过程的一些基本概念及pdmp的广义生成算子;第二章介绍了经典风险模型及sparreandersen模型;第三章是本文的主体,讨论了索赔到达间隔服从几何分布的sparreandersen模型的破产问题。
  • In the study of risk theory , a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable . martingale approach is one of the most powerful methods of pdmp . the programming process is getting the ruin probability from the martingale construction . we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient
    本文应用逐段决定马尔可夫过程理论及补充变量技巧,使索赔到达间隔服从亏时几何分布的连续时间风险过程成为齐次强马尔可夫过程,然后利用pdmp中的鞅方法(用广义生成算子得出鞅)推导了鞅的形式,作为该风险模型索赔额分布为一般分布下的破产概率的一般表达式,其中用到了测度变换的思想。
  • Additionally , provided that not all interarrival times distribution and ser - vice times distribution are of density function , the integral representation of the transient disribution of the queue length of these four queueing systems as indicated above is obtained by applying the theory of markov skeleton processes
    此外,当到达间隔分布和服务时间分布不都有密度函数时,应用马尔可夫骨架过程理论,亦可得到上述四个排队系统的瞬时队长分布的积分表示。在处理上述这两个内容截然不同的部分时,所使用的基本方法是一致的。
  • When studying the network performance , flow control and resource provisioning of communication networks , traffic model plays a very important role . the recent studies show that the date network traffic is self - similar , so the markovian model , which describes telephone networks accurately , is not suitable for date networks . the self - similarity of the network traffic has severe impact on flow control and queuing analysis in date networks , therefore it has received significant attention . in this paper , g m 1 queuing model is used to analyze the queuing performance of generic variable length packet networks for the first time . the self - similar traffic is generated by multiplexing a large set of independent pareto heavy - tailed interarrival on off sources . the simulation results show that the heavy - tailed traffic results in queuing performance deterioration for variable length packet networks , which is in accordance with the analytical results for atm switches
    业务量的自相似特征显著影响网络的流量控制与排队分析,已经引起人们的极大重视。采用g m 1排队模型对分组长度可变的网络的排队性能进行了分析和仿真,其中自相似业务量是通过叠加大量独立的到达间隔为pareto重尾分布的on off源来生成的。仿真结果表明,自相似业务量导致网络的排队性能劣化,这与有关文献对atm交换的分析结果一致。
  • 3 , 4 , 5 and ? 6 of this chapter deal respectively with the transient distribution of the queue length of these four queueing systems . such results are obtained as follows : under the condition of the interarrival times distributions and service times distributions of these queueing models which have density function , their transient distribution of the queue length can be represented as an integral , and the integrated term of this integral can be recursively obtained
    在这一章的夸3 、芬4 、县5和号6中,分别针对这四个排队模型,讨论了瞬时队长的分布,最终得到了以下的结果:在这几个模型的到达间隔分布和服务时间分布均具有密度函数的条件下,它们的瞬时队长分布可以表示为一个积分,该积分的被积项可以递归地求取。
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