1979
DOI: 10.2307/1268522
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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

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Cited by 2,828 publications
(640 citation statements)
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“…Therefore, to obtain maximum-likelihood estimates (MLEs) is an optimization problem. We used simulated annealing [29], an optimization procedure that is less prone to become trapped in suboptimal values, and the Latin hypercube, a sampling technique that allows to explore large parameter space [30]. We repeated the procedure 30 times for each combination of networks and models, starting from different points in parameter space to improve the reliability of the estimates.…”
Section: Food Web Models and Assembly Rules Of Antagonistic Networkmentioning
confidence: 99%
“…Therefore, to obtain maximum-likelihood estimates (MLEs) is an optimization problem. We used simulated annealing [29], an optimization procedure that is less prone to become trapped in suboptimal values, and the Latin hypercube, a sampling technique that allows to explore large parameter space [30]. We repeated the procedure 30 times for each combination of networks and models, starting from different points in parameter space to improve the reliability of the estimates.…”
Section: Food Web Models and Assembly Rules Of Antagonistic Networkmentioning
confidence: 99%
“…It is important that the parameter sample be sufficiently dense in the peak region to ensure that many sets have non-negligible weights. We use Latin Hypercube sampling (LHS) [38,39], which samples a function of K variables with the range of each variable divided into M equally-spaced intervals. Each combination of M and K is sampled at most once, with a maximum number of combinations being (M !)…”
Section: A Computational Approachmentioning
confidence: 99%
“…Realizations of input variables from Table 1 were computed applying the Latin Hypercube Sampling (LHS) method, which is a method of type Monte Carlo (McKey et al 1979). LHS method is used to simulate a real experiment.…”
Section: Discussionmentioning
confidence: 99%