Local weighted regression statistical analysis based mathematical education evaluation

被引：0
|
作者：
Mei Ze
机构：
[1] Shanxi Medicine University,College of Forensic Medicine
来源：
Cluster Computing | 2019年 / 22卷
关键词：
Locally weighted regression; Mathematics education; Statistic analysis; Hierarchical model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to improve effectiveness of statistic analysis of mathematics education, a statistic analysis method for mathematics education based on locally weighted regression is proposed. At first, attribute hierarchical model (AHM) is used to build statistic analysis model of mathematics education. Mode of evaluation is selected as diagnostic evaluation of standard reference. Specific entries related to mathematics teaching items in curriculum standards serve as measurement goal, which is regarded as cognitive attribute of AHM. Next, locally weighted regression is introduced, polynomial is weighted and fitted for points to be fitted by means of locally observed data and such points are estimated by least square method. In the end, effectiveness of the proposed method is verified by simulation experiment.
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收藏
页码：4729 / 4735
页数：6
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