THE OUTLIER TEST BASED ON NORMALLY DISTRIBUTED DATA
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 3
Abstract
In this paper, the simulation experiments are used to research the efficiency of different outlier test. R software is used to generate the normally distributed data, which contains the outliers defined differently. Then each model are applied to test the outliers in the dataset. The experimental result shows that the efficiencies of the same model differed greatly when the definition of the abnormal value varies. So we can draw the conclusion that the efficiency of the test model depends on the definition of the outlier. And the efficiency of Quartile model is higher than other models. So Quartile model is more effective and applicable than other models in actual data test.
Authors and Affiliations
Chen Peifan
Keywords
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- EP ID EP409135
- DOI 10.26480/iscsai.01.2017.14.16
- Views 77
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