A Hybrid Model for BGP Anomaly Detection Using Median Absolute Deviation and Machine Learning
IEEE Open Journal of the Communications SocietyDetecting anomalies in the Border Gateway Protocol (BGP) has proved relevant in the cybersecurity field due to the protocol’s critical role in the Internet’s infrastructure. BGP vulnerabilities can lead to major disruptions and connectivity
Maria Andrea Romo-Chavero +4 more
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Least clipped absolute deviation for robust regression using skipped median
Communications for Statistical Applications and Methods, 2023 Hao Lia, Seokho Lee
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Detecting Outliers in the Simple Linear Regression for Children Affected with Leukemia in Mosul City
Tikrit Journal of Pure Science, 2022 In this study, the problem of outlier detection in “linear regression” analysis is studied using the “median” and “mean” “absolute deviation” about the median.
Shaymaa Riyadh Thanoon +1 more
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Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias [PDF]
Journal of Geodesy and Geoinformation Science, 2023 A new prediction method based on the nonlinear autoregressive model is proposed to improve the accuracy of medium-term and long-term predictions of Satellite Clock Bias (SCB).
Xu WANG,Hongzhou CHAI
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Geometry of deviation measures for triangular distributions
Frontiers in Applied Mathematics and Statistics, 2023 Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation.
Yuhe Wang, Eugene Pinsky
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IEEE Access, 2021 This article presents deviation based exponentially weighted moving average control charts to monitor type-I censored data. Due to practical applications, this study considers Weibull distribution to assess the performance of the proposed memory-type ...
Sajid Ali +4 more
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High-Dimensional Satellite Image Compositing and Statistics for Enhanced Irrigated Crop Mapping
Remote Sensing, 2021 Accurate irrigated area maps remain difficult to generate, as smallholder irrigation schemes often escape detection. Efforts to map smallholder irrigation have often relied on complex classification models fitted to temporal image stacks. The use of high-
Michael J. Wellington, Luigi J. Renzullo
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The Mirror Effect: A Preregistered Replication
Collabra: Psychology, 2020 When individuals are exposed to their own image in a mirror, known to increase self-awareness, they may show increased accessibility of suicide-related words (a phenomenon labeled “the mirror effect”; Selimbegović & Chatard, 2013).
Jean Monéger +2 more
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On the sensitivity of robust control charts in monitoring contaminated data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Shewhart chart is typically formed under normality assumptions. In reality, much data is contaminated with occasional outliers, which may diminish the Shewhart chart’s sensitivity.
Kooi Huat Ng +3 more
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A Robust Noise Estimation Algorithm Based on Redundant Prediction and Local Statistics
Sensors, 2023 Blind noise level estimation is a key issue in image processing applications that helps improve the visualization and perceptual quality of images. In this paper, we propose an improved block-based noise level estimation algorithm. The proposed algorithm
Huangxin Xie +2 more
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