FN Archimer Export Format
PT J
TI Survey of stochastic models for wind and sea state time series
BT 
AF MONBET, Valérie
   AILLIOT, P
   PREVOSTO, Marc
AS 1:1,2;2:1;3:2;
FF 1:;2:;3:PDG-DOP-DCB-ERT-HO;
C1 Univ S Brittany, Dept Appl Stat, F-56017 Vannes, France.
   IFREMER, Ctr Brest, ERT HO, Hydrodynam & Metocean, F-29280 Plouzane, France.
C2 UBS, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-DOP-DCB-ERT-HO
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 1.162
TC 62
UR https://archimer.ifremer.fr/doc/2007/publication-2679.pdf
LA English
DT Article
DE ;Model validation;Simulation;Nonlinear time series;Wind;Sea state
AB 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. (C) 2006 Elsevier Ltd. All rights reserved.
PY 2007
PD APR
SO Probabilistic Engineering Mechanics
SN 0266-8920
PU Elsevier
VL 22
IS 2
UT 000246539500001
BP 113
EP 126
DI 10.1016/j.probengmech.2006.08.003
ID 2679
ER

EF