双变量泊松分布参数的极大似然估计

Maximum Likelihood Estimation of Parameters for Bivariate Poisson Distribution

研究了双变量泊松分布的参数估计问题,运用newton迭代法给出了一种新的3个未知参数的极大似然估计计算方法,并求其矩估计作为初值计算。最后,根据文献中给出的122个调度员样本在2个连续时间内所遭受事故的数据集,通过Matlab软件编程运算,给出计算结果。

This paper investigates the problem of Parameters for bivariate poisson distribution.The maximum likelihood estimation of three unknown parameters in the distribution is calculated by Newton iteration method to get moment estimation as the initial value calculation.Finally,the results are obtained by using the MATLAB software programming calculation and a data set on accidents by the sample of 122 shunters in two consecutive times from an editorial.