计数数据广义估计方程相关系数矩阵估计的相合性  

The Correlation Coefficient Matrix Estimation of the Generalized Estimator of the Data is Estimated

作　　者：林松 尹长明[1] 孙晗 LIN Song;YIN Chang-ming;SUN Han(Guangxi University,School of Mathematics and Information Science,Nanning 530004,China)

机构地区：[1]广西大学数学与信息科学学院,广西南宁530004

出　　处：《数学的实践与认识》2019年第2期298-303,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金(11061002);广西自然科学基金(2015GXNSFAA139006)

摘　　要：一般线性模型只能拟合一些特殊的资料,而广义线性模型则不一样,它具有较大的灵活性,运用也日趋广泛.基于此,运用广义估计方程证明了高维变量下Poisson分布相关阵的相合性.The general linear model can only fit some special data,but the generalized linear model is not the same.It has more flexibility and is used more and more widely.Based on this,the consistency of Poisson distribution correlation matrix under high dimensional variables is proved by using the generalized estimation equation.

关 键 词：广义估计方程 真实相关阵 高维纵向计数数据 相合性 

分 类 号：O212.1[理学—概率论与数理统计]