id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iajs-1841	Gorgees, Hazim Mansoor; Mahdi, Fatimah Assim	The Comparison Between Different Approaches to Overcome the Multicollinearity Problem in Linear Regression Models	2018	10	.pdf	application/pdf	3157	130	57	The mean square error of ordinary ridge regression estimator can easily demonstrated to be[2] https://doi.org/10.30526/31.1.1841 Mathematics | 215 2018) Sci. Vol.31 (1) 2018 regression estimator, the simulation results displayed that the principal components estimator performs better than all types of ordinary ridge regression estimators that are included in this articles while the ordinary regression estimator based on the ridge parameter ^ CNk seems to be better than other studied types of ordinary ridge regression estimators in all conditions of multi- collinearity levels, sample sizes and the standard deviations of the error terms.	cache/iajs-1841.pdf	txt/iajs-1841.txt