Enhancing the Reliability of M-Estimation through Redundancy Design
Yazarlar (4)
Şerif Hekimoğlu
Yıldız Teknik Üniversitesi, Türkiye
Yıldız Teknik Üniversitesi, Türkiye
Utkan Mustafa Durdağ Artvin Çoruh Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ali Hasan DOĞAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Bahattin Erdoğan Yıldız Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Surveying Engineering (Q3) | ||
| Dergi ISSN | 0733-9453 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2026 |
| Cilt / Sayı / Sayfa | 152 / 2 / – | DOI | 10.1061/JSUED2.SUENG-1654 |
| Makale Linki | https://doi.org/10.1061/jsued2.sueng-1654 | ||
| Özet |
| Outlier detection is a crucial aspect of model fitting, particularly in geodetic applications where data reliability is paramount. The traditional least squares estimation method, while optimal under ideal conditions, is highly sensitive to deviations caused by outliers. This study proposes a robust M-estimation method by incorporating a redundancy design to enhance the reliability of outlier detection. An iterative weight adjustment method is developed by changing the partial redundancy values of the observations, thereby improving the sensitivity of residuals to outliers. The proposed method was evaluated through extensive Monte Carlo simulations using a simple regression model and leveling network for a small outlier. The results demonstrate that the proposed method outperforms conventional techniques such as the Baarda’s and Pope’s tests, particularly when multiple outliers are present. While the method slightly … |
| Anahtar Kelimeler |
| Baarda test | M-estimation | Mean success rate | Outlier | Pope test | Redundancy |
BM Sürdürülebilir Kalkınma Amaçları
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