Habib M. (ed.) Empirical Modeling and Its Applications

New York: ExLi4EvA, 2016. — 146 p.This volume is dedicated to the type of modeling that is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process.
Empirical modeling has been a useful approach for the analysis of different problems across numerous areas/fields of knowledge.
In some cases, the results from empirical models can be used in order to make decisions about those variables, with the intent of resolving a given problem in the real-life applications.Empirical Modeling of the Total Electron Content of the Ionosphere
The Empirical Models to Correct Water Column Effects for Optically Shallow Water
Least Squares Method and Empirical Modeling: A Case Study in a Mexican Manufacturing Firm
Applied Hydrological Modeling with the Use of Geoinformatics: Theory and Practice
Critical Loss Analyses in Korean Liquor Mergers
A Comparison between the Presence and Absence of Regulation in the Spanish Electricity Market