Improving the Ordinary Least Squares Estimator by Ridge Regression

Journals Menu

Follow SCIRP

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.org/journal/oalibj
E-mail: service@oalib.com

"Improving the Ordinary Least Squares Estimator by Ridge Regression"
written by Ghadban Khalaf,
published by Open Access Library Journal, Vol.9 No.5, 2022

has been cited by the following article(s):

[1]	Unemployment Rates in Vocational Education in Indonesia Using Economic and Statistical Analysis
	Statistics, Optimization …, 2024

[2]	A new ridge type estimator and its performance for the linear regression model: Simulation and application


[3]	KInerja Publikasi Ganjil 2023_RSH

Follow SCIRP

[1]	A new ridge type estimator and its performance for the linear regression model: Simulation and application Hacettepe Journal of Mathematics and Statistics, 2024 DOI:10.15672/hujms.1359446

[2]	Determining Predictors for Patient Diagnosis with PTSD using the Parameters of One-Dimensional First-Order Models for BOLD Signals from Brain Structures and GMDH Control Systems and Computers, 2024 DOI:10.15407/csc.2024.03.060