Some asymptotic inference in Quasi-Likelihood nonlinear models: A geometric approach

被引：0

作者：

Wei B. ^{[1
]}

Tang N. ^{[1
]}

Wang X. ^{[2
]}

机构：

[1] Dept. of Math, Southeast Univ, Nanjing

[2] Dept. of Statistics, Yunan Univ, Kunming

来源：

Applied Mathematics-A Journal of Chinese Universities | 2000年 / 15卷 / 2期

基金：

中国国家自然科学基金;

关键词：

Curvature array; Quasi-information; Quasi-likelihood nonlinear models; Stochastic expansion; Variance;

D O I：

10.1007/s11766-000-0024-5

中图分类号：

学科分类号：

摘要：

A modified Bates and Watts geometric framework is proposed for quasi-likelihood nonlinear models in Euclidean inner product space. Based on the modified geometric framework, some asymptotic inference in terms of curvatures for quasi-likelihood nonlinear models is studied. Several previous results for nonlinear regression models and exponential family nonlinear models etc. are extended to quasi-likelihood nonlinear models. © 2000 Springer Verlag.

引用

页码：173 / 183

页数：10

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