Abstract
The knowledge of sea state and wind conditions is of central importance
for many offshore and nearshore operations. In this paper, we make
a complete survey of stochastic models for sea state and wind time
series. We begin with methods based on Gaussian processes, then non-parametric
resampling methods for time series are introduced followed by various
parametric models. We also propose an original statistical method,
based on Monte Carlo goodness-of-fit tests, for model validation
and comparison and this method is illustrated on an example of multivariate
sea state time series
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