The large sample properties of the solutions of general estimating equations

被引:2
作者
Zhao, Huixiu [1 ,2 ]
Lin, Jinguan [1 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[2] Nanjing Univ Sci & Technol, Coll Sci, Nanjing 210094, Jiangsu, Peoples R China
基金
中国博士后科学基金;
关键词
Asymptotic normality; consistency; estimating equations; large sample property; nuisance parameter; QUADRATIC INFERENCE FUNCTIONS; LONGITUDINAL DATA; MISSING DATA; ALGORITHM; MODELS; REGRESSION;
D O I
10.1007/s11424-012-0044-2
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper develops the large sample properties of the solutions of the general estimating equations which are unbiased or asymptotically unbiased or with nuisance parameters for correlated data. The authors do not make the assumption that the estimating equations come from some objective function when we establish the large sample properties of the solutions. So these results extend the work of Newey and McFadden (1994) and are more widely applicable. Furthermore, we provide some examples to justify the importance of our work.
引用
收藏
页码:315 / 328
页数:14
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