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- Deterministic_simulation abstract "In mathematical modeling, deterministic simulations contain no random variables and no degree of randomness, and consist mostly of equations, for example difference equations. These simulations have known inputs and they results in a unique set of outputs. In opposite we know stochastic (probability) simulation, which include random variables. Simulation is a process of imitation or generating reality or things that we cannot, or for some reasons didn’t accomplish in the real world. Simulation is an indispensable problem-solving methodology for the solution of many real-world problems.Deterministic simulation models are usually designed to capture some underlying mechanism or natural process. They are different from statistical models (for example linear regression) whose aim is to empirically estimate the relationships between variables. The deterministic model is viewed as a useful approximation of reality that is easier to build and interpret than a stochastic model. However, such models can be extremely complicated with large numbers of inputs and outputs, and therefore are often noninvertible; a fixed single set of outputs can be generated by multiple sets of inputs. Thus taking reliable account of parameter and model uncertainty is crucial, perhaps even more so than for standard statistical models, yet this is an area that has received little attention from statisticians.".
- Deterministic_simulation wikiPageExternalLink dsm.html.
- Deterministic_simulation wikiPageID "34505429".
- Deterministic_simulation wikiPageRevisionID "600136835".
- Deterministic_simulation hasPhotoCollection Deterministic_simulation.
- Deterministic_simulation subject Category:Determinism.
- Deterministic_simulation subject Category:Mathematical_modeling.
- Deterministic_simulation comment "In mathematical modeling, deterministic simulations contain no random variables and no degree of randomness, and consist mostly of equations, for example difference equations. These simulations have known inputs and they results in a unique set of outputs. In opposite we know stochastic (probability) simulation, which include random variables. Simulation is a process of imitation or generating reality or things that we cannot, or for some reasons didn’t accomplish in the real world.".
- Deterministic_simulation label "Deterministic simulation".
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- Deterministic_simulation sameAs Q5265715.
- Deterministic_simulation sameAs Q5265715.
- Deterministic_simulation wasDerivedFrom Deterministic_simulation?oldid=600136835.
- Deterministic_simulation isPrimaryTopicOf Deterministic_simulation.