| Summary: | 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
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