A new correction approach for information criteria to detect outliers in regression modeling

Autor:	Emre Dünder
Rok vydání:	2020
Předmět:	Statistics and Probability Estimation Lasso (statistics) Outlier Information Criteria Context (language use) Anomaly detection Regression analysis Data mining computer.software_genre computer Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 50:2451-2465
ISSN:	1532-415X 0361-0926
Popis:	The outliers cause wrong prediction and estimation results in regression models. Therefore, it is important to identify the outliers correctly in the context of regression analysis. Information cri...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4cf52504b1b388574c7dc1ad9f21ee3f https://doi.org/10.1080/03610926.2020.1792497 Zobrazit plný text záznamu