Slepian models for the stochastic shape of individual Lagrange sea waves
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Publication:5480006
DOI10.1239/aap/1151337078zbMath1122.60050OpenAlexW2093340511MaRDI QIDQ5480006
Publication date: 25 July 2006
Published in: Advances in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1239/aap/1151337078
Random fields (60G60) Gaussian processes (60G15) Extreme value theory; extremal stochastic processes (60G70) Hydrology, hydrography, oceanography (86A05) Other physical applications of random processes (60K40)
Related Items (12)
Second-order Lagrangian description of tri-dimensional gravity wave interactions ⋮ Sample Path Asymmetries in Non-Gaussian Random Processes ⋮ Level curves crossings and applications for Gaussian models ⋮ Slope distribution in front-back asymmetric stochastic Lagrange time waves ⋮ Level sets of random fields and applications: specular points and wave crests ⋮ Wave intensities and slopes in Lagrangian seas ⋮ Horseshoe-like patterns in first-order 3D random Gauss-Lagrange waves with directional spreading ⋮ Unnamed Item ⋮ The relation between wave asymmetry and particle orbits analysed by Slepian models ⋮ Stochastic Asymmetry Properties of 3D Gauss-Lagrange Ocean Waves with Directional Spreading ⋮ Long-term time-dependent stochastic modelling of extreme waves ⋮ Almost automorphy and various extensions for stochastic processes
Cites Work
- Extremes and related properties of random sequences and processes
- Wave statistics in non-linear random sea
- Cycle range distributions for Gaussian processes -- exact and approximative results
- The statistical analysis of a random, moving surface
- Slepian Models and Regression Approximations in Crossing and Extreme Value Theory
- Some Properties of a Normal Process Near a Local Maximum
- Geometrical characteristics of Gaussian sea waves
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