Search Results - subject:"Outlier detection"

An outlier detection framework for Air Quality Index prediction using linear and ensemble models

Dongre, Pradeep Kumar; Patel, Viral; Bhoi, Upendra; … - 2025

integrates multiple outlier detection methods with machine learning models, focusing on enhancing the accuracy and robustness of … predictions. The study investigates various outlier detection techniques, including the Interquartile Range (IQR), robust Z …

Persistent link: https://www.econbiz.de/10015420152

Advanced outlier detection methods for enhancing beta regression robustness

Oktsa Dwika Rahmashari; Wuttichai Srisodaphol - 2025

propose three novel outlier detection methods: Tukey-Pearson Residual (TPR), Iterative Tukey-Pearson Residual (ITPR), and …-world data applications were conducted to evaluate their performance against existing outlier detection techniques in the …

Persistent link: https://www.econbiz.de/10015420208

ICS for complex data with application to outlier detection for density data objects

Mondon, Camille; Huong Thi Trinh; Ruiz-Gazen, Anne; … - 2025

Persistent link: https://www.econbiz.de/10015405578

Potenziale von Clustering-Algorithmen für die Plausibilisierung im Außenhandel

Limberg, Heiko - In: WISTA – Wirtschaft und Statistik 76 (2024) 1, pp. 54-65

In foreign trade statistics, the Federal Statistical Office compiles data on Germany's trade in goods with other countries from the export and import declarations submitted by businesses that are required to report data. Complex edit checks are employed to detect and correct erroneous data to...

Persistent link: https://www.econbiz.de/10014485136

CABRA : clustering algorithm based on regular arrangement

C-Rella, Jorge - In: Operations research letters : a journal of INFORMS … 55 (2024), pp. 1-7

Persistent link: https://www.econbiz.de/10015049729

Multiple outlier detection in samples with exponential & pareto tails

Sornette, Didier; Wei, Ran - 2024

Persistent link: https://www.econbiz.de/10015110737

Outlier detection in network revenue management

Rennie, Nicola; Cleophas, Catherine; Sykulski, Adam M.; … - In: OR spectrum : quantitative approaches in management 46 (2024) 2, pp. 445-511

Persistent link: https://www.econbiz.de/10014566071

Potenziale von Clustering-Algorithmen für die Plausibilisierung im Außenhandel

Limberg, Heiko - In: Wirtschaft und Statistik : WISTA (2024) 1, pp. 54-65

Persistent link: https://www.econbiz.de/10014483376

Mathematical programming for simultaneous feature selection and outlier detection under l1 norm

Barbato, Michele; Ceselli, Alberto - In: European journal of operational research : EJOR 316 (2024) 3, pp. 1070-1084

Persistent link: https://www.econbiz.de/10014577855

Outlier detection in network revenue management

Rennie, Nicola; Cleophas, Catherine; Sykulski, Adam M.; … - In: OR Spectrum 46 (2023) 2, pp. 445-511

structure makes such demand outliers hard to detect. We propose a two-step approach combining clustering with functional outlier … detection to identify outlying demand from network bookings observed on the leg level. The first step clusters legs to …

Persistent link: https://www.econbiz.de/10015205205