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Modelling under uncertainty: Monte Carlo methods for temporally varying parameters

✍ Scribed by J.D. Annan


Book ID
117465528
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
89 KB
Volume
136
Category
Article
ISSN
0304-3800

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Complex models are often used to make predictions of environmental effects over a broad range of temporal and spatial scales. The data necessary to adequately estimate the parameters of these complex models are often not available. Monte Carlo filtering, the process of rejecting sets of model simula