Difference between revisions of "Techniques and technologies"
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These are key ideas, techniques, and technologies in decision making, modeling, statistics, and analytics, and how or whether you can use them with Analytica: | These are key ideas, techniques, and technologies in decision making, modeling, statistics, and analytics, and how or whether you can use them with Analytica: | ||
| + | * [[Monte Carlo and probabilistic simulation]] | ||
* [[Bayes nets and probabilistic belief networks]] | * [[Bayes nets and probabilistic belief networks]] | ||
* [[Clear Analytica code]] | * [[Clear Analytica code]] | ||
| + | * [[Choosing_a_method_for_sensitivity_analysis|Sensitivity analysis]], including | ||
| + | ** [[Importance analysis]] | ||
| + | ** [[Tornado charts]] | ||
| + | ** [[Regression analysis]] | ||
| + | * [[Statistical_Functions_and_Importance_Weighting#Importance_Weighting|Importance sampling]] (or more generally [[Statistical_Functions_and_Importance_Weighting#Importance_Weighting|Importance weighting]]) | ||
| + | |||
* [[Decision analysis]] | * [[Decision analysis]] | ||
* [[Multi-attribute utility and preference models]] | * [[Multi-attribute utility and preference models]] | ||
| − | * [[Systems dynamics]]: Modeling dynamic systems changing over time with feedback loops. | + | * [[Tutorial:_Dynamic_system_model|Systems dynamics]]: Modeling dynamic systems changing over time with feedback loops. |
| − | * [[Optimization and solvers]] | + | * [[Analytica Optimizer Guide|Optimization and solvers]] |
| + | |||
| + | == See Also == | ||
| + | * [[:Category:Concepts|Concepts]] | ||
Latest revision as of 22:26, 4 October 2021
These are key ideas, techniques, and technologies in decision making, modeling, statistics, and analytics, and how or whether you can use them with Analytica:
- Monte Carlo and probabilistic simulation
- Bayes nets and probabilistic belief networks
- Clear Analytica code
- Sensitivity analysis, including
- Importance sampling (or more generally Importance weighting)
- Decision analysis
- Multi-attribute utility and preference models
- Systems dynamics: Modeling dynamic systems changing over time with feedback loops.
- Optimization and solvers
See Also
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