Statistical Regression Line-Fitting in the Oil and Gas Industry: A Descriptive Guide With Microsoft Excel Examples
Proceedings of the 45th annual Design Automation Conference
Modeling wine preferences by data mining from physicochemical properties
Decision Support Systems
| Hi-index | 0.00 |
The present research work outlines the main ideas behind statistical regression by a two-independent-variates and one-dependent-variate model based on the invariance of measures in probabilistic spaces. The principle of probabilistic measure invariance, applied under the assumption that the model be isotonic, leads to a system of differential equations. Such differential system is reformulated in terms of an integral equation that affords an iterative numerical solution. Numerical tests performed on the devised statistical regression procedure illustrate its features.