第四章讨论随机利率下一类大额索赔离散风险模型的破产概率估计。
In Chapter Four, we further discuss the ruin probability of a discrete time risk model under random interest rate with heavy tails.
在第四章，我们进一步把上一章的结果推广到无限时间破产概率的场合。
In Chapter 4 we further extend the result to the case of infinite time ruin probability with heavy tails.
第四章主要是应用神经网络算法学习由数值计算得到的样本，实现了由夏比吸收能量值到断裂韧性值的在概率基础上的映射。
In the 4th chapter, the BP neural networks is used to study the sample data, thus realize the mapping from absorbing energy of Charpy Experiment to fracture toughness on the basis of probability.
第四章给出了破产概率的上下界。
In the fourth chapter, we derive some bounds of the ruin probabilities.
第四章从理论上对BCH最小码字距离的问题进行研究，同时从理论角度对BCH译码的出错指示及漏警概率进行分析；
In chapter 4, the problem of finding the minimum distance in large linear codes like BCH is discussed, and the decoder's general performance is analyzed theoretically.
第四章从理论上对BCH最小码字距离的问题进行研究，同时从理论角度对BCH译码的出错指示及漏警概率进行分析；
In chapter 4, the problem of finding the minimum distance in large linear codes like BCH is discussed, and the decoder's general performance is analyzed theoretically.
应用推荐