海南师范大学学报（自然科学版）Issue(2)：122-126,5.
对数线性G amma分布模型极大似然估计的强相合性和渐近正态性
Strong Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in the Log Linear Gamma Model
摘要
Abstract
In the log linear Gamma model, under assumptions that Zn=o(log n) and λmin∑in=1ZiZicnαfor some c>0, α>0, the strong consistency and asymptotic normality of the maximum likelihood estimates of the regression parameter vector were established, where Zn are regressors.关键词
对数线性Gamma分布模型/强相合性/渐近正态性Key words
log linear Gamma model/strong consistency/asymptotic normality分类
数理科学引用本文复制引用
刘双花,尹长明,邓娌莉..对数线性G amma分布模型极大似然估计的强相合性和渐近正态性[J].海南师范大学学报（自然科学版）,2015,(2):122-126,5.基金项目
百色学院一般科研项目 （）
