Results 11 to 20 of about 207,324 (261)

Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix [PDF]

Journal of Big Data, 2019
Area of interest The trend of current software inevitably leads to the big data era. There are much of large software developed from hundreds to thousands of modules.
Aris Marjuni, Teguh B. Adji, Ridi Ferdiana   +2 more
doaj   +2 more sources

The Component Weighted Median Absolute Deviations Problem

European Journal of Pure and Applied Mathematics, 2020
This paper considers the problem of robust modeling by using the well-known Least Absolute Deviation (LAD) regression. For that purpose, the approximation function is designed and analyzed, which is based on a certain component weight of the Weighted Median of Data.
Vedran Novoselac
openalex   +3 more sources

Confidence intervals for median absolute deviations [PDF]

Communications in Statistics - Simulation and Computation, 2019
The median absolute deviation (MAD) is a robust measure of scale that is simple to implement and easy to interpret. Motivated by this, we introduce interval estimators of the MAD to make reliable inferences for dispersion for a single population and ratios and differences of MADs for comparing two populations.
Chandima N. P. G. Arachchige, Luke A. Prendergast   +1 more
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Cyber Security of Smart Metering Infrastructure Using Median Absolute Deviation Methodology [PDF]

Security and Communication Networks, 2022
To combat cyber threats in the smart grid, an intrusion detection system can be integrated into the advanced metering infrastructure. Anomaly-based intrusion detection can detect even the tiniest changes in the parameter under investigation, whereas signature-based intrusion detection only recognises known attacks.
Priti Prabhakar, Sujata Arora, Anita Khosla, Rajender Kumar Beniwal, Moses Ndole Arthur, José Luis Arias‐Gonzáles, Franklin Oré Areche   +6 more
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Estimation of Transition Probabilities Using Median Absolute Deviations

, 1988
The probability-constrained minimum absolute deviations (MAD) estimator appears to be superior to the probability-constrained quadratic programming estimator in estimating transition probabilities with limited aggregate time series data Futhermore, one can reduce the number of columns in the probability-constrained MAD simplex tableau by adopting the ...
C.S. Kim, Glenn D. Schaible, Kim, C.S., Schaible, Glenn D.   +3 more
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Image Registration using Median Absolute Deviation –based Adaptive RANSAC

Engineering, Technology & Applied Science Research
Image registration encompasses topics such as change detection and remote sensing. Feature-based registration is one of the main approaches and relies on feature extraction and matching. The Oriented FAST and Rotated BRIEF (ORB) algorithm is one of the most robust methods used in feature registration. Random sample consensus (RANSAC) is an optimization
Khalid Akdim, Hassan Roukhe, Ahmed Roukhe   +2 more
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Control Charts for Monitoring Process Capability Index Using Median Absolute Deviation for Some Popular Distributions [PDF]

Processes, 2019
A control chart monitoring the process capability index (PCI) using median absolute deviation (MAD) is proposed to analyze the industrial process performance. Extensive simulation studies were carried out to evaluate the performance of MAD-based PCI control charts under the low, moderate, and high asymmetric conditions when the process characteristic ...
Muhammad Aslam, G. Srinivasa Rao, Ali Hussein AL-Marshadi, Liaquat Ahmad, Chi‐Hyuck Jun   +4 more
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Median Absolute Deviation to Improve Hit Selection for Genome-Scale RNAi Screens

SLAS Discovery, 2008
High-throughput screening (HTS) of large-scale RNA interference (RNAi) libraries has become an increasingly popular method of functional genomics in recent years. Cell-based assays used for RNAi screening often produce small dynamic ranges and significant variability because of the combination of cellular heterogeneity, transfection efficiency, and the
Namjin Chung, Xiaohua Douglas Zhang, Anthony Kreamer, Louis Locco, Pei Fen Kuan, Steven R. Bartz, Peter S. Linsley, Marc Ferrer, Berta Strulovici   +8 more
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Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Journal of Experimental Social Psychology, 2013
A survey revealed that researchers still seem to encounter difficulties to cope with outliers. Detecting outliers by determining an interval spanning over the mean plus/minus three standard deviations remains a common practice. However, since both the mean and the standard deviation are particularly sensitive to outliers, this method is problematic. We
Christophe Leys, Christophe Ley, Olivier Klein, Philippe Bernard, Laurent Licata   +4 more
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Neutrosophic Method for Identifying Extreme Values in Imprecise Data Using Median Absolute Deviation

International Journal of Analysis and Applications
The traditional calculation of Z-scores for outlier detection is highly sensitive to extreme data points, making it unsuitable under conditions of uncertainty. In this study, we propose a novel approach to modify the Z-score method using neutrosophic statistics. Key statistical measures, including the median, neutrosophic standard deviation, and median
Muhammad Saleem, Muhammad Aslam
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