The effects of outdated data and outliers on Kenya’s 2019 Global Food Security Index score and rank by Prisca Atieno, Sheryl L Hendriks

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A Robust Skewed Boxplot for Detecting Outliers in Rainfall Observations in Real-Time Flood Forecasting by Chao Zhao, Jinyan Yang

“…The standard boxplot is one of the most popular nonparametric tools for detecting outliers in univariate datasets. For Gaussian or symmetric distributions, the chance of data occurring outside of the standard boxplot fence is only 0.7%. …”
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Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation by M. E. Ghitany, W. H. Laverty

“…In this paper we discuss the behavlor of the statistic R^(t) , the uniformly minimum variance unbiased (UMVU) estimate for the reliability of gamma distribution with unknown scale parameter σ when an outlier observation is present. Given the outlier effect on σ, we determine bounds for the mean and mean square error (MSE) of R(t). …”
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Getting To That Promised Land: Reclaiming Martin Luther King, Jr. and 21st Century Black Activism in the United States and western Europe by Laura Visser-Maessen

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Graphic Nonviolence: Framing “Good Trouble” in John Lewis’ March by Johannes C. P. Schmid

Subjects: “…Martin Luther King…”
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Lumière sur Eugène Martial Simas, décorateur oublié de la Belle Époque by Constance Desanti

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Croisées de la science et du roman au tournant des Lumières. by Valérie Stiénon

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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

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Outlier Detection Based on Multivariable Panel Data and K-Means Clustering for Dam Deformation Monitoring Data by Jintao Song, Shengfei Zhang, Fei Tong, Jie Yang, Zhiquan Zeng, Shuai Yuan

“…In this study, an analytical method for detecting outliers of dam deformation data was established based on multivariable panel data and K-means clustering theory. …”
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A visual-physiology multimodal system for detecting outlier behavior of participants in a reality TV show by Shinjin Kang, Donggyun Kim, Youngbin Kim

“…This study proposes an outlier detection system based on the visual-physiology multimodal data system for a Korean reality TV show, “Perfect on Paper.” …”
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EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams by Mohamed Jaward Bah, Hongzhi Wang, Li-Hui Zhao, Ji Zhang, Jie Xiao

“…Detecting outliers in data streams is a challenging problem since, in a data stream scenario, scanning the data multiple times is unfeasible, and the incoming streaming data keep evolving. …”
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An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers by Cuiping Xue, Tie Zhang, Dong Xiao

“…Compared with the BFGS algorithm, the ABFGS algorithm adds output-related fault monitoring capabilities and has strong robustness, which can eliminate the influence of outliers on measurement data. The effectiveness of this method has been verified by the Eastman benchmark program in Tennessee. …”
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A novel potential outlier recognition approach considering local heterogeneity enhancement to improve the quality of soil datasets by Yongji Wang, Mingjun Yang, Meizi Wang, Jiayang Lv, Shuhao Yuan, Shaoqi Li, Zihan Wang, Jipeng Zhang, Qingwen Qi, Yanjun Ye

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Data Transformation Technique to Improve the Outlier Detection Power of Grubbs’ Test for Data Expected to Follow Linear Relation by K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, T. Becker

“…However, ranking of data eliminates the actual sequence of a data series, which is an important factor for determining outliers in some cases (e.g., time series). Thus in such a data set, Grubbs test will not identify outliers correctly. …”
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Multi-scale outlier mining algorithm for stateless communication data under IPv6 remote monitoring network by Kun LIU, Xiaohan ZHANG, Rukun CAO, Shuai LI

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Christophe Belaubre, Église et Lumières au Guatemala, la dimension atlantique (1779-1808) by Bernard Lavallé

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Vers l’image aveugle : George Oppen et l’usage de la lumière by Xavier Kalck

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The properties of nonuniformity analysis of high dimensional data by Vydūnas Šaltenis

Subjects: “…outlier detection…”
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Marlen Schneider, Belle comme Vénus. Le portrait historié entre Grand Siècle et Lumières by Flavie Leroux

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Pratique de la philosophie et fraternité : un levier pour lutter contre les inégalités by Christian Budex

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