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A Survey of Outlier Detection Methodologies [PDF]
Artificial Intelligence Review, 2004 Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply ...
Victoria J Hodge, Jim Austin
exaly +7 more sources
Use the robust RFCH method with a polychoric correlation matrix in structural equation modeling When you are ordinal data [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 Structural Equation Modeling is a statistical methodology commonly used in the social and administrative sciences and all other. In this research, the researcher made a comparison between methods of estimation Unweighted Least Squares with Mean and ...
Omar Salim, Mohammed Mohammed
doaj +1 more source
Study on the Technology Trend Screening Framework Using Unsupervised Learning
Applied Sciences, 2022 Outliers that deviate from a normal distribution are typically removed during the analysis process. However, the patterns of outliers are recognized as important information in the outlier detection method.
Junseok Lee, Sangsung Park, Juhyun Lee
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Remote Sensing, 2022 Heavy metal concentrations of Cd, As, Pb, Cu, Cr, and Hg were investigated for 86 soil samples in Jinzhou near the Bohai Sea in China, in order to identify what anthropological activities influenced their distribution levels. Ordinary cokriging (OCK) was
Ling Zeng +3 more
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On Selection Criteria for the Tuning Parameter in Robust Divergence
Entropy, 2021 Although robust divergence, such as density power divergence and γ-divergence, is helpful for robust statistical inference in the presence of outliers, the tuning parameter that controls the degree of robustness is chosen in a rule-of-thumb, which may ...
Shonosuke Sugasawa, Shouto Yonekura
doaj +1 more source
International Journal of STEM Education, 2020 Background As the number of computer science (CS) jobs become increasingly available in this country and computing skills become essential tools for managing all aspects of our personal lives, CS is quickly becoming an essential element of K-12 education
Jeanne Century +2 more
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Identification and classification of Serbia's historic floods [PDF]
Glasnik Srpskog Geografskog Društva, 2009 River flooding in Serbia is a natural phenomenon which largely exceeds the scope of water management and hydraulic engineering, and has considerable impact on the development of Serbian society.
Prohaska Stevan +3 more
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Boscovich Fuzzy Regression Line
Mathematics, 2021 We introduce a new fuzzy linear regression method. The method is capable of approximating fuzzy relationships between an independent and a dependent variable.
Pavel Škrabánek +2 more
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Cumulative Sum Chart Modeled under the Presence of Outliers
Mathematics, 2020 Cumulative sum control charts that are based on the estimated control limits are extensively used in practice. Such control limits are often characterized by a Phase I estimation error.
Nasir Abbas +3 more
doaj +1 more source
Education Sciences, 2017 Amid growing concerns about the future of the U.S. economy and workforce, educators and policymakers alike have increasingly emphasized the need to expand the number of students interested in, qualified for and actually pursuing careers in science ...
Melanie LaForce +2 more
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