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非线性模型误差方差估计的Bootstrap逼近和分布的收敛速度
引用本文:黄养新.非线性模型误差方差估计的Bootstrap逼近和分布的收敛速度[J].应用数学,1994,7(1):11-17.
作者姓名:黄养新
作者单位:武汉工业大学 武汉
摘    要:本文对非线性模型误差方差的估计基于Jackknife虚拟值的Bootstrap方法建立了Bootstrap逼近,证明了逼近的相合性定理,得到了逼近的速度是o(n~(-1/2))。进一步,本文证明了误差方差估计的分布以理想的最佳速度o(n~(-1/2))收敛于正态分布的结论。

关 键 词:非线性模型  Bootstrap方法  误差方差  收敛速度

Convergence Rates of the Distributions and the Bootstrap Approximations of the Error Variance Estimates in Nonlinear Models
Huang Yangxin.Convergence Rates of the Distributions and the Bootstrap Approximations of the Error Variance Estimates in Nonlinear Models[J].Mathematica Applicata,1994,7(1):11-17.
Authors:Huang Yangxin
Institution:Wuhan University of Technology
Abstract:In this paper,the Bootstrap approximations based on the Jackknife pseudovalues is applied to the estimation of error variance in nonlinear models. The large sample properties of the approximations is considered, it is proved that the approximation is consistent and convergence rate is o( n-1/2). Furthermore,the convergence rate of the distribution of error variance estimates is presented.
Keywords:Nonlinear model  Bootstrap method  Error variance Convergence rate
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