简单线性EV回归模型中最小二乘估计量的Berry-Esseen估计
A Note on LS Berry-Esseen Estimator in Simple Linear EV Regression Model
DOI: 10.12677/AAM.2015.41004, PDF, HTML, XML, 下载: 2,862  浏览: 7,788  科研立项经费支持
作者: 孟娇*, 于明明：南京航空航天大学，江苏 南京
关键词: 中心极限定理；收敛速度；EV退化模型；最小二乘法估计量；Central Limit Theorem； Convergence Rate； EV Regression Model； LS Estimator
摘要: 本论文的目的是研究简单线性存在误差项(EV)退化模型的最小二乘估计量中心极限定理的收敛速度。进一步，Miao，Yang和Shen在[1]中对其实际应用做了详细的介绍。
Abstract: In this paper, we study the convergence rate of the central limit theorems for LS estimator in simple linear errors-in-variables (EV) regression model. Further, its application has been introduced detailedly by Miao, Yang and Shen in[1].
文章引用：孟娇, 于明明. 简单线性EV回归模型中最小二乘估计量的Berry-Esseen估计[J]. 应用数学进展, 2015, 4(1): 29-36. http://dx.doi.org/10.12677/AAM.2015.41004

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