Nonlinear Dynamics for the prediction of Statistical Distributions: An Operational Research perspective
A semantic connection between nonlinear or linear dynamical systems and statistical Gaussian distributions is developed as a theory. This connection is applied to predict changes in the Gaussian distribution when models of a complexsystem are available for making decisions in any operational researc...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | conferenceObject |
| Lenguaje: | Inglés |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/11086/25331 |
| Aporte de: |
| Sumario: | A semantic connection between nonlinear or linear dynamical systems and statistical Gaussian distributions is developed as a theory. This connection is applied to predict changes in the Gaussian distribution when models of a complexsystem are available for making decisions in any operational research framework. A typical real case is considered in the analysis and the application of the theory is explained. As a theoretical extension, modified confidence intervals and extended hypothesis testing related to inferential statistics are briefly discussed to consider the global impact of this developed tool. |
|---|