Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test
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Updated
May 29, 2021 - Jupyter Notebook
Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test
Seasonal ESD is an anomaly detection algorithm implemented at Twitter: https://arxiv.org/pdf/1704.07706.pdf
Python-based cryptographic benchmarking analysis tool using Grubbs’ test for iterative outlier detection, convergence analysis, and statistical stabilisation of execution-time measurements.
Implemented statistical outlier detection pipeline in Python using Tukey’s Method, Z-score, and Grubbs’ Test to identify anomalies in RPA dataset, detecting and visualizing six significant outliers with Plotly.
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