Comparative Study in Controlling Outliers and Multicollinearity Using Robust Performance Jackknife Ridge Regression Estimator Based on Generalized-M and Least Trimmed Square Estimator

Regression analysis is one of the statistical methods used to determine the causal relationship between one or more explanatory variables to the affected variable. The problem that often occurs in regression analysis is that there are multicollonity and outliers. To deal with such problems can be so...

詳細記述

書誌詳細

出版年:	Jambura Journal of Mathematics
主要な著者:	Gustina Saputri, Netti Herawati, Tiryono Ruby, Khoirin Nisa
フォーマット:	論文
言語:	英語
出版事項:	Department of Mathematics, Universitas Negeri Gorontalo 2024-08-01
主題:	outliers multicollinearity robust ridge regression jackknife ridge regression generalized-m estimator least trimmed square estimator
オンライン･アクセス:	https://ejurnal.ung.ac.id/index.php/jjom/article/view/24828