Influential Point Analysis in Regression Model

碩士 === 中原大學 === 應用數學研究所 === 106 === In statistics, the outlier is the one that keeps away from other observations, and the outliers are classified as several different categories. We point out that outliers in different aspects have different effects on the regression model. Although the data is out...

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Main Authors: Cheng-Ru Juang, 莊承儒
Other Authors: Tzu-Wei Cheng
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/u7vfka
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spelling ndltd-TW-106CYCU55070402019-10-31T05:22:11Z http://ndltd.ncl.edu.tw/handle/u7vfka Influential Point Analysis in Regression Model 迴歸模型的影響力點分析 Cheng-Ru Juang 莊承儒 碩士 中原大學 應用數學研究所 106 In statistics, the outlier is the one that keeps away from other observations, and the outliers are classified as several different categories. We point out that outliers in different aspects have different effects on the regression model. Although the data is outliers, it is not necessarily has influence on the regression model. We first introduce the outlier diagnostic method in different directions. After knowing what kinds of outliers are they, we also want to know how much influence it will have on our regression model. In this paper, we will discuss the components of the diagnostic method. The weights are used to perturb the data we want to analysis. Do the components of the diagnostic method have common relationship, and what are the characteristics of each. And then discuss the differences in diagnostic methods in the data simulation Tzu-Wei Cheng 鄭子韋 2018 學位論文 ; thesis 47 zh-TW
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description 碩士 === 中原大學 === 應用數學研究所 === 106 === In statistics, the outlier is the one that keeps away from other observations, and the outliers are classified as several different categories. We point out that outliers in different aspects have different effects on the regression model. Although the data is outliers, it is not necessarily has influence on the regression model. We first introduce the outlier diagnostic method in different directions. After knowing what kinds of outliers are they, we also want to know how much influence it will have on our regression model. In this paper, we will discuss the components of the diagnostic method. The weights are used to perturb the data we want to analysis. Do the components of the diagnostic method have common relationship, and what are the characteristics of each. And then discuss the differences in diagnostic methods in the data simulation
author2 Tzu-Wei Cheng
author_facet Tzu-Wei Cheng
Cheng-Ru Juang
莊承儒
author Cheng-Ru Juang
莊承儒
spellingShingle Cheng-Ru Juang
莊承儒
Influential Point Analysis in Regression Model
author_sort Cheng-Ru Juang
title Influential Point Analysis in Regression Model
title_short Influential Point Analysis in Regression Model
title_full Influential Point Analysis in Regression Model
title_fullStr Influential Point Analysis in Regression Model
title_full_unstemmed Influential Point Analysis in Regression Model
title_sort influential point analysis in regression model
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/u7vfka
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AT zhuāngchéngrú huíguīmóxíngdeyǐngxiǎnglìdiǎnfēnxī
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