The determination of confidence limits associated with estimates of the spectral peak frequency
References (11)
- et al.
Random Data: Analysis and Measurement Procedures
- et al.
Waves and wave forecasting
- et al.
Directional spectra of wind-generated waves
Phil. Trans. R. Soc. Lond. A
(1985) - et al.
The sampling variability of estimates of spectra of wind-generated gravity waves
J. Geophys. Res.
(1983) A parametric surface wave model and statistics of the prediction parameters
Hamburger Geophys. Einzelsch.
(1981)
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Frequency-dependent wave damping by tidal wetlands under storm conditions
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2021, International Journal of FatigueCitation Excerpt :This estimate has an intrinsic statistical variability that transfers to all quantities (e.g. the damage) computed from it. The importance of the statistical variability of an estimated power spectrum and its spectral parameters seems to be well known in the field of ocean engineering [15–19]. But surprisingly it has received no attention in the field of structural durability, where the statistical variability characterising the fatigue damage computed from an estimated power spectrum is not considered by spectral methods.
Wave measurements from ship mounted sensors in the Arctic marginal ice zone
2021, Cold Regions Science and TechnologyAn open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions
2020, Cold Regions Science and TechnologyCitation Excerpt :In this figure, and in all the following when error bars will be presented either for wave spectra or for reports of significant wave height, a 3-σ confidence interval is used. Confidence intervals are calculated from the Chi-squared distribution, following the methodology presented in Young (1986, 1995); Specialist Committee on Stability in Waves of the 28th ITTC (2017), where the number of degrees of freedom is calculated from the number of overlapping segments used in the Welch method (Kohout et al., 2015). Therefore, the agreement observed in this subsection cross-validates the in situ, on board data processing against the data processing our group has been using in the past, as well as the data compression and decompression algorithms used to transmit the reduced spectra over Iridium.