Ridge-GME estimation in linear mixed models

Autor:	B. Babadi, Fariba Janamiri, Alireza Chaji, Abdolrahman Rasekh
Rok vydání:	2021
Předmět:	Statistics and Probability Multicollinearity Principle of maximum entropy Estimator Applied mathematics Ridge (differential geometry) Generalized linear mixed model Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. :1-18
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2021.2003402
Popis:	In this paper, we concentrate on the generalized maximum entropy (GME) estimators. The aim is to improve the problem of multicollinearity in the linear mixed models (LMMs). Then the asymptotic prop...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9bf81ebeadb22dbdcc6a28f7a2f9115a https://doi.org/10.1080/03610926.2021.2003402 Zobrazit plný text záznamu