首页|负二项分布随机变量和尾概率的界

负二项分布随机变量和尾概率的界

扫码查看
研究了服从不同负二项分布的随机变量和尾概率的界。首先在服从不同负二项分布独立随机变量条件下,利用负二项分布概率母函数和Markov不等式得到了一个随机变量和尾概率的界,并对所求得的界进行改进,获得一个更加精确的界;其次在服从负二项分布的条件下,通过添加相依关系,得到了关于负相依随机变量和尾概率的界。
Tail Probability Bound of Sums of Random Variables with Negative Binomial Distribution
This paper studied the bounds of the tail probability of the sum of independent random variables with different negative binomial distributions.Firstly,under the condition of independent random variables with different negative binomial distributions,we used the probability generation function of the negative binomial distribution and Markov inequality to obtain tail probability bounds on the sum of random variables,which was improved to obtain a more accurate bound.Secondly,we obtained some bounds for the tail probability of the sum of negative dependent random variables by adding dependence relations under the condition of obeying the negative binomial distribution.

negative binomial distributionnegative dependencetail probability

宋欢、华志强、侯云艳

展开 >

内蒙古民族大学 数学科学学院,内蒙古 通辽 028000

负二项分布 负相依 尾概率

国家自然科学基金内蒙古自治区直属高校基本科研业务费项目内蒙古民族大学博士科研启动基金内蒙古民族大学博士科研启动基金内蒙古民族大学虚拟教研室建设项目

11961053GXKY23Z028BS459BS468XTXN-KC202309

2024

江汉大学学报(自然科学版)
江汉大学

江汉大学学报(自然科学版)

影响因子:0.413
ISSN:1673-0143
年,卷(期):2024.52(1)
  • 5