摘要
在数理统计中,极大似然估计法是参数估计的重要方法之一,它的计算也一直是统计计算的一个重要研究方向.本文以多参数Weibull分布为例,设计遗传算法来计算极大似然估计,得到了非常满意的计算结果.
In mathematical statistics, maximum likelihood estimation (MLE) is one of the important methods of the parameter estimate, and the algorithm for computing MLEs is an important aspect of the study statistical computing. In this paper, we describe a genetic algorithm for computing MLEs. It was used to compute the MLEs of mixing Weilbull distribution, and the result was very satisfactory.
出处
《应用基础与工程科学学报》
EI
CSCD
2002年第4期352-358,共7页
Journal of Basic Science and Engineering
关键词
混合Weibull分布
极大似然估计
遗传算法
选择算子
杂交算子
变异算子
参数估计
multi-parameter mixing Weilbull distnbution, maximum likelihood estimation, genetic algorithm, selection operator, crossover operator, mutation operator
