Simple and Multi Linear Regression Model of Verbs in Quran

• 作者: Abdelkrim El Mouatasim
• 来源期刊: 美国计算数学期刊(英文)
• 学科: 数学
• 关键词: Linear Regression Text Mining Quran STATISTICS Matlab ARABIC GRAMMAR Optimization COMPUTATION LINGUISTICS
• 年，卷（期）: 2018,（1）
• 页码范围: 68-77
• 页数: 10页
• 分类号: O1

摘要

This paper mainly presented a good simple and multi-linear regression model of verbs in the Quran book. This model, gives an analysis for the influence to frequency of words with the form (—un, ---) made by the frequency of plural present verbs (t—un, ---) or (y—un, ---), and models, and the relationship between independent variables and dependent variable by fitting a linear equation to the observed data with simple linear regression model. The matlab function is used for finding the parameters of the linear regression model and plotting the fits. The results show that the parameters of the model are one vector (1, 1) and mean of dataset is (6, 7). Its corresponding to the verb with input is frequency of the verb they enter and the frequency of enter (yadkolun ?dakilun), also other 17 points exist in the line and in the dataset of 387 verbs and their derivate verbs in Quran. The name of Allah () showed when we use tree variables and plot it in 3D with option “Show Text” for a multi regression model.