基于高校四级成绩数据的重采样方法研究  

Research on resampling method based on the score data of CET4

作　　者：夏艳 张丽娟 Xia Yan;Zhang Lijuan(Guangzhou Huashang College,Guangzhou,Guangdong 511399,China)

机构地区：[1]广州华商学院,广东广州511399

出　　处：《计算机时代》2022年第11期73-75,80,共4页Computer Era

基　　金：2021年校级质量工程-数据科学与大数据技术(HS2021ZLGC02)。

摘　　要：为了更好的评估高校各专业英语四级总体应试水平,本文突破传统估计均值的方法,在Bootstrap和Jackknife的基础上,从新的角度进行分析研究;采用Bootstrap-Jackknife估计方法对广州华商学院2017学年各专业四级成绩均值数据进行估计。从估计误差来看,Bootstrap-Jackknife估计误差要远远小于Bootstrap与Jackknife,这说明了Bootstrap-Jackknife在对估计总体样本均值问题上的优越性。Breaking through the traditional method of estimating the mean value,on the basis of Bootstrap and Jackknife,the analysis and research are carried out from a new perspective to better evaluate the overall level of CET4.The Bootstrap-Jackknife estimation method is used to estimate the mean score of the CET4 of each major in Guangzhou Huashang University in the 2017 academic year.From the estimation error,Bootstrap-Jackknife method is much smaller than Bootstrap and Jackknife,which shows the superiority of Bootstrap-Jackknife in estimating the overall sample mean.

关 键 词：BOOTSTRAP JACKKNIFE Bootstrap-Jackknife估计 标准差估计 四级成绩 

分 类 号：O212.7[理学—概率论与数理统计]