摘要
利用方开泰和王元(1989)提出的序贯数论方法的一个优化算法(SNTO),本文给出求统计分布参数的极大似然估计的一个统一方法。为了说明这个方法的运用,我们集中处理威布尔和贝它分布的参数极大似然估计。许多例子表明,我们的方法是普遍有用和有效的。
In this paper a unified approach to maximum likelihood estimation (MLE) of parameters of statistical distributions by the sequential number theoretic algorithm for optimization (SNTO) proposed by Fang and Wang (1989) is adopted. For illustration of the use of this approach more attention is paid to MLE's of parameters of the Weibull and the beta distributions. A number of examples show that the present method is universally useful and effective.
出处
《应用概率统计》
CSCD
北大核心
1990年第4期412-418,共7页
Chinese Journal of Applied Probability and Statistics
基金
the Chinese National Science Foundation and Funds of Academia Siuica
