MMS (statistical method)
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In statistics, MMS is a non-parametric, robust outlier detection (anomaly detection) method for linear regression.[1] The method is derived from the equation of "Sum of Arithmetic Progression" and based on the Maximum, the Minimum, and the Sum of a time series. Therefore, the method was named MMS.
References
- ↑ Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression, http://www.hindawi.com/journals/tswj/2014/821623/
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