Correlation Estimation System Minimization Compared to Least Squares Minimization in Simple Linear Regression
Methodology
2018-02-09 v1
Abstract
A general method of minimization using correlation coefficients and order statistics is evaluated relative to least squares procedures in the estimation of parameters for normal data in simple linear regression.
Cite
@article{arxiv.1802.02649,
title = {Correlation Estimation System Minimization Compared to Least Squares Minimization in Simple Linear Regression},
author = {Rudy Gideon},
journal= {arXiv preprint arXiv:1802.02649},
year = {2018}
}
Comments
15 pages including two tables