摘要
泊松分布的信息熵是参数λ的无穷级数.证明了泊松分布的信息熵是参数λ的单调递增凸函数;λ误差影响的条件数小于1;在保证精度的前提下,给出了信息熵的有限项求和的近似计算递推公式,解决了无穷级数求和及阶乘溢出的数值计算问题.
The entropy of a Poisson distribution was an infinite series about parameter λ.It was proved that the entropy of this distribution was a strictly increasing concave function about parameter λ,and its condition number was less than 1 about error influence of λ.For solving the problems of numerical calculation about summing an infinite series and overflow of factorial,a finite item summing recmrence formula of approximate calculation was given for the entropy of a Poisson distribution under the condition of ensuring accuracy.
出处
《郑州大学学报(理学版)》
CAS
北大核心
2014年第2期24-30,共7页
Journal of Zhengzhou University:Natural Science Edition
关键词
泊松分布
信息熵
条件数
近似计算
Poisson distribution
entropy
condition number
approximate computation