| Property | Value |
|---|---|
| dcterms:created | 2011-11-20T20:18:51Z
|
| dcterms:modified | 2018-06-14T12:54:52Z
|
| http://aims.fao.org/aos/agrontology#hasGoalOrProcess | http://aims.fao.org/aos/agrovoc/c_36860
|
| http://aims.fao.org/aos/agrontology#isUsedIn | http://aims.fao.org/aos/agrovoc/c_5364
http://aims.fao.org/aos/agrovoc/c_35208 http://aims.fao.org/aos/agrovoc/c_7377 |
| http://aims.fao.org/aos/agrontology#makeUseOf | http://aims.fao.org/aos/agrovoc/c_24242
|
| void:inDataset | http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
|
| skos:definition | http://aims.fao.org/aos/agrovoc/xDef_01c21219
http://aims.fao.org/aos/agrovoc/xDef_1328252751924 |
| skos:note | Simulations may be deterministic (assuming no variability) or stochastic (to explore the range of variability in the results). Sensitivity analyses and projections of the status of the fishery system into the future are forms of simulation. There are several ways of accounting for uncertainty in simulations, such as bootstrapping, Bayesian methods, and Monte Carlo simulations.
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