New approaches for outlier detection: The least trimmed squares adjustment

Autor:	Hasan DİLMAÇ, Yasemin ŞİŞMAN
Rok vydání:	2023
Předmět:	The Least Squares Outliers Robust Estimation The Least Trimmed Squares Engineering Multidisciplinary Mühendislik Ortak Disiplinler General Medicine
Zdroj:	Volume: 8, Issue: 1 26-31 International Journal of Engineering and Geosciences
ISSN:	2548-0960
DOI:	10.26833/ijeg.996340
Popis:	Classical outlier tests based on the least-squares (LS) have significant disadvantages in some situations. The adjustment computation and classical outlier tests deteriorate when observations include outliers. The robust techniques that are not sensitive to outliers have been developed to detect the outliers. Several methods use robust techniques such as M-estimators, L1- norm, the least trimmed squares etc. The least trimmed squares (LTS) among them have a high-breakdown point. After the theoretical explanation, the adjustment computation has been carried out in this study based on the least squares (LS) and the least trimmed squares (LTS). A certain polynomial with arbitrary values has been used for applications. In this way, the performances of these techniques have been investigated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bae25a83c697e418689d54092a23991 https://doi.org/10.26833/ijeg.996340 Zobrazit plný text záznamu