Implicit Regression: Detecting Constants and Inverse Relationships with Bivariate Random Error
Applications
2015-12-17 v1 Other Statistics
Abstract
In 2011, Wooten introduced Non-Response Analysis the founding theory in Implicit Regression where Implicit Regression treats the variables implicitly as codependent variables and not as an explicit function with dependent or independent variables as in standard regression. The motivation of this paper is to introduce methods of implicit regression to determine the constant nature of a variable or the interactive term, and address inverse relationship among measured variables with random error present in both directions.
Cite
@article{arxiv.1512.05307,
title = {Implicit Regression: Detecting Constants and Inverse Relationships with Bivariate Random Error},
author = {R. D. Wooten and K. Baah and J. D'Andrea},
journal= {arXiv preprint arXiv:1512.05307},
year = {2015}
}
Comments
11 pages, 22 figures