Suchergebnisse - "OUTLIER detection"

Regularized halfspace depth for functional data.

Autoren: Yeon, Hyemin Dai, Xiongtao Lopez-Pintado, Sara

Quelle: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Nov2025, Vol. 87 Issue 5, p1553-1575. 23p.

Schlagwörter: *QUANTITATIVE research, OUTLIER detection, HILBERT space, MATHEMATICAL regularization, SHAPE analysis (Computational geometry)

Automated model selection for multivariate anomaly detection in manufacturing systems.

Autoren: Engbers, Hendrik Freitag, Michael

Quelle: Journal of Intelligent Manufacturing. Oct2025, Vol. 36 Issue 7, p5015-5033. 19p.

Schlagwörter: *FLEXIBLE manufacturing systems, MACHINE learning, OUTLIER detection, ENSEMBLE learning, OPTIMIZATION algorithms, COMPUTER performance

Recognition of state variation of ballast bed using integrated multi-dimensional motion characteristics of ballast particles.

Autoren: Xi, Haonan Fu, Longlong Wang, Shuchen et al.

Quelle: International Journal of Rail Transportation. Dec2025, Vol. 13 Issue 6, p1178-1199. 22p.

Schlagwörter: OUTLIER detection, BALLAST (Railroads), MOISTURE, PARTICLE detectors

Boundary peeling: An outlier detection method.

Autoren: Arafat, Sheikh Sun, Na Weese, Maria L. et al.

Quelle: Quality Engineering. 2025, Vol. 37 Issue 4, p583-596. 14p.

Schlagwörter: *DATA analysis, *DATA structures, OUTLIER detection, SUPPORT vector machines, COMPUTER performance, MACHINE learning, ENSEMBLE learning

A comprehensive benchmarking of different outlier detection techniques for univariate datasets by Monte Carlo simulations.

Autoren: Ergin, Malik Aksu, Yunus Koşkan, Özgür

Quelle: Communications in Statistics: Simulation & Computation. Oct2025, p1-16. 16p. 2 Illustrations.

Schlagwörter: *ANALYSIS of variance, *MONTE Carlo method, OUTLIER detection, BENCHMARK problems (Computer science), FALSE positive error, INFERENTIAL statistics, DETECTION algorithms

A Manifold Learning‐Based Anomaly Detection Framework for Cardiovascular Disease Diagnosis.

Autoren: Harrou, Fouzi Dairi, Abdelkader Sun, Ying

Quelle: Computational Intelligence. Oct2025, Vol. 41 Issue 5, p1-19. 19p.

Schlagwörter: CARDIOVASCULAR diseases, OUTLIER detection, SUPERVISED learning, DIMENSIONAL reduction algorithms, NONLINEAR regression, CLINICAL decision support systems

How well do ridge parameter estimators proposed so far perform in terms of normality, outlier detection, and MSE criteria?

Autoren: Mermi, Selman Göktaş, Atila Akkuş, Özge

Quelle: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 11, p4841-4907. 67p.

Schlagwörter: *MONTE Carlo method, *PARAMETER estimation, RIDGE regression (Statistics), OUTLIER detection, LOSS functions (Statistics), RANK correlation (Statistics), MULTICOLLINEARITY

Data-driven cluster analysis method: a novel outliers detection method in multivariate data.

Autoren: Duarte, A. R. Barbosa, J. J. Martins, H. S. R. et al.

Quelle: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 10, p4285-4305. 21p.

Schlagwörter: *CLUSTER analysis (Statistics), *STATISTICS, *MULTIVARIATE analysis, OUTLIER detection, STATISTICAL accuracy, SENSITIVITY & specificity (Statistics)

An adaptive threshold for outlier detection in high-dimensional settings.

Autoren: Li, Chikun Jin, Baisuo Wu, Yuehua et al.

Quelle: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 24, p7809-7827. 19p.

Schlagwörter: *MULTIVARIATE analysis, *MATHEMATICAL statistics, OUTLIER detection, FALSE discovery rate, NONLINEAR analysis, THRESHOLDING algorithms, ASYMPTOTIC analysis

The Effects of Data Preprocessing Choices on Behavioral RCT Outcomes: A Multiverse Analysis.

Autoren: Veltri, Giuseppe A.^1,2 (AUTHOR) gaveltri@nus.edu.sg

Quelle: Multivariate Behavioral Research. Oct2025, p1-16. 16p. 6 Illustrations.

Schlagwörter: *STATISTICS, *QUANTITATIVE research, *DATA scrubbing, RANDOMIZED controlled trials, OUTLIER detection, MISSING data (Statistics), STATISTICS methodology

Cellwise Outlier Detection in Heterogeneous Populations.

Autoren: Zaccaria, Giorgia García-Escudero, Luis A. Greselin, Francesca et al.

Quelle: Technometrics. Nov2025, Vol. 67 Issue 4, p643-654. 12p.

Schlagwörter: *EMPIRICAL research, OUTLIER detection, GAUSSIAN mixture models, COHORT analysis, CLUSTERING algorithms, EXPECTATION-maximization algorithms, MULTIPLE imputation (Statistics)

The bcc coating of Lennard-Jones crystal nuclei vanishes with a change of local structure detection algorithm.

Autoren: Gispen, Willem Pérez de Alba Ortíz, Alberto Dijkstra, Marjolein

Quelle: Journal of Chemical Physics. 1/14/2025, Vol. 162 Issue 2, p1-14. 14p.

Schlagwörter: *DETECTION algorithms, *OUTLIER detection, *CRYSTAL surfaces, *MACHINE learning, *CRYSTALS

Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances.

Autoren: Lu, Shuo Wang, Yingsheng Sheng, Lijun et al.

Quelle: ACM Computing Surveys. Feb2026, Vol. 58 Issue 2, p1-39. 39p.

Schlagwörter: OUTLIER detection, SCIENTIFIC discoveries

Application of Outlier Detection Methods in Audit Analytics.

Autoren: Fulcer, Kevin Gu, Hanchi Hu, Hanxin et al.

Quelle: Accounting Horizons. Sep2025, Vol. 39 Issue 3, p143-157. 15p.

Schlagwörter: *SYSTEMS design, *RISK assessment, OUTLIER detection, OUTLIERS (Statistics), PATTERN perception, MACHINE learning

REALITY HITS EARLY WARNING SYSTEM: BASED ON UNSUPERVISED ISOLATION FOREST ANOMALY DETECTION.

Autoren: TANAKA, KATSUYUKI HIGASHIDE, TAKUO KINKYO, TAKUJI et al.

Quelle: Singapore Economic Review. Aug2025, p1-23. 23p. 6 Illustrations.

Schlagwörter: *BANKRUPTCY, *DECISION trees, *ECONOMIC databases, *DATA mining, OUTLIER detection, SIGNAL detection, DATA quality

Optimizing S² control charts: Rank set sampling schemes for enhanced outlier detection.

Autoren: Awais, Ayesha Saeed, Nadia

Quelle: Communications in Statistics: Theory & Methods. Sep2025, p1-20. 20p. 2 Illustrations.

Schlagwörter: *QUALITY control charts, *MANUFACTURING industries, *PROCESS control systems, *STATISTICAL process control, OUTLIER detection, SAMPLING methods, SAMPLING (Process)

Dynamic Walrus-Optimized Outlier Detection for Enhanced Quality in Wire Arc Additive Manufacturing.

Autoren: M, Sunil Kumar Alam, Intekhab Sharma, Rajeev et al.

Quelle: Journal of Advanced Manufacturing Systems. Sep2025, p1-20. 20p.

Schlagwörter: *QUALITY control, *DYNAMIC programming, OUTLIER detection, DATA quality, ELECTRIC welding

Topological data analysis for random sets and its application in detecting outliers and goodness of fit testing.

Autoren: Gotovac Ɖogaš, Vesna Mandarić, Marcela

Quelle: Statistical Methods & Applications. Sep2025, Vol. 34 Issue 4, p561-605. 45p.

Schlagwörter: *DATA analysis, *SIMULATION methods & models, OUTLIER detection, GOODNESS-of-fit tests, RANDOM sets

Cognitive Based Detection of Anomalous Sequences Using Bayesian Surprise.

Autoren: McGarry, Ken Nelson, David

Quelle: Expert Systems. Sep2025, Vol. 42 Issue 9, p1-17. 17p.

Schlagwörter: *DATA analysis, ANOMALY detection (Computer security), OUTLIER detection, PATTERN perception

Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data.

Autoren: Mayrhofer, Marcus Radojičić, Una Filzmoser, Peter

Quelle: Technometrics. Aug2025, Vol. 67 Issue 3, p516-530. 15p.

Schlagwörter: *DISTRIBUTION (Probability theory), *MULTIVARIATE analysis, *MATHEMATICAL optimization, OUTLIER detection, ROBUST statistics