The Identification Of Multiple Outliers

By J. P. Park. 2000

312 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cac6d96e1d4b91605891d8bf6dd4c8de7b9fd0f1

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Citations in the corpus

A systematic approach for soft sensor development (2007, unknown): “The Hampel identifier Davies & Gather, 1981) replaces the outlier-sensitive mean and tandard deviation estimates with the outlier-resistant median nd median absolute deviation from the median (MAD).”
The Distribution of Robust Distances (2005, methodology): “Various methods for detecting multivariate outliers have been studied (Atkinson 1994; Barnett and Lewis 1994, Becker and Gather 1999, 2001; Davies and Gather 1993; Gather and Becker 1997; Gnanadesikan and Kettenring 1972; Hadi 1992, 1994; Hawkins 1980; Maronna and Yohai 1995; Penny 1995; Rocke and…”
Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals (2014, methodology): “We utilize the Hampel identifier [19], which declares any point falling out of the closed interval [μ− γ ∗ σ, μ+ γ ∗ σ]) as an outlier, where μ and σ are the median and the median absolute deviation (MAD) of the data sequence, respectively.”
Data-driven Soft Sensors in the process industry (2009, methodology): “More robust version of this approach is the Hampel identifier (Davies and Gather, 1993) which is in contrast to the 3σ method uses more outlier resistant median and median absolute deviation from median (MAD) values (Pearson, 2001, 2002) to calculate the limits.”
Review of soft sensor methods for regression applications (2016, methodology): “A robust version of 3σ-rule is the Hampfel identifier [20], which considers the absolute mean and absolute mean deviation.”
Rapid (2017, methodology): “Rapid utilizes Hampel identifier [6] to remove these outliers.”
On-line outlier detection and data cleaning (2004, methodology): “Among these methods, the Hampel identifier is regarded as one of the most robust and efficient outlier identifiers (Davies & Gather, 1993; Perarson, 2002).”
Detecting Outliers in Frontier Models: A Simple Approach (2003, background): “But with these values of tuning parameters, many other points (6) would also have been detected in the full tables.”
Non-Invasive Detection of Moving and Stationary Human With WiFi (2015, methodology): “The raw CSI measurements are passed through the Hampel identiﬁer [29] to sift outlier observations [17].”
The Statistics of Bulk Segregant Analysis Using Next Generation Sequencing (2011, methodology): “Use Hampel’s rule [18] to identify outliers, OW , as all wi in WG0 that satisfy:”