Research Article
Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression
Table 2
Sample calculations for illustrating the relation between 2/n and MMSmax and MMSmin.
| | Data set 1 | Data set 2 | Data set 3 | Data set 4 | Data set 5 |
| | 100 | 100 | 100 | 99.99 | 1 | | 101 | 101 | 101 | 101 | 101 | | 102 | 102 | 102 | 102 | 102 | | 103 | 103 | 103 | 103 | 103 | | 104 | 104.01 | 204 | 104 | 104 |
| MMS (Max) | 0.4 | 0.401 | 0.945 | 0.399 | 0.254 | MMS (Min) | 0.4 | 0.399 | 0.254 | 0.401 | 0.945 | 2/ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | Outlier? | ā | Yes-Max | Yes-Max | Yes-Min | Yes-Min |
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