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Cluster Computing

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02-03-2018

Local weighted regression statistical analysis based mathematical education evaluation

Author: Mei Ze

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

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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Title: Local weighted regression statistical analysis based mathematical education evaluation
Author: Mei Ze
Publication date: 02-03-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2319-4

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