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1)  the tail probability of the deficit
赤字尾概率
1.
For the double compound Poisson model,a functional inequality of the tail probability of the deficit is derived.
研究双复合Poisson过程的风险模型,得到了关于赤字尾概率的函数型不等式,并且作为它的应用,得到了一些指数型上界估计,使得某些已有结果得到推广。
2)  deficit diagram
赤字率
1.
) In this paper,a modified method was proposed to avoid the iterative calculation for the method of mass-exchange network with multiple impurities deficit diagram.
针对多杂质质量交换网络赤字率图解法在使用时需多次迭代因而计算复杂的缺点,提出了改进方法。
3)  tail probability
尾概率
1.
For the partial sums S_n of pairwise NQD sequences,by establishing its tail probability inequality,its upper bounds of p-order moment and tail probability were obtained,and,under different distributions,a sufficient condition for WLLN was studied.
对两两NQD列的部分和Sn,通过建立其尾概率不等式,得到了Sn的p阶矩的上界估计和Sn尾概率的指数上界,对不同分布两两NQD列,研究了服从弱大数律的充分条件,使独立同分布情形的相应结果成为推论或特例。
2.
Based on extreme value theory and methods,generalized Pareto models are established to extreme daily return to Shanghai stock index,and return levels and upper tail probability are worked out by using the models.
本文基于极值理论和方法建立了上证综合指数极端日收益率的广义Pareto模型,并利用所得的模型计算出日收益率的返回水平及其上尾概率。
3.
When people invest the financial assets,the primary problem which investors pay attention to is often the large fluctuation probability of financial asset return,for short tail probability.
在对金融资产进行投资时,投资者所关注的问题往往是金融资产收益率发生大波动的概率,简称尾概率。
4)  tail probability
尾部概率
1.
d(independent and identically distributed) random variables and Chernoff bound are reviewed,with which the tail probability of n i.
首先研究了独立同分布场合的中心极限定理以及切尔诺夫界,然后由这两个方法来估计n个随机变量和的尾部概率。
5)  tail probabilities
尾概率
1.
Under the assumption that X is subexponentially distributed, we obtained an asymptotics of the tail probabilities of the maxima of radom partial sums.
设 {X ,Xk,k≥ 1 }为一列独立同分布的随机变量 ,Sn 为它的前n项部分和 ,得到 :在X是次指数分布的随机变量的假设下 ,随机个部分和最大值的尾概率的一个等价公式 。
2.
In chapter one, we discuss the limit behaviour of a kind of symmetric random variables sequences, mainly including the strong law of large numbers, the convergence rates of tail probabilities in the law of large numbers and the convergence rates of tail probabilities in the law of large numbers with random index.
第一章主要讨论了一类分布对称随机变量序列的极限性质,具体包括强大数定律、大数律尾概率级数的收敛性以及具有随机足标的大数律尾概率级数的收敛性,从而对独立情形下的经典极限理论部分结果进行了条件的推广。
6)  left tail probability
左尾概率
补充资料:尾尾
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