Use of classical maximum likelihood method for estimating directional wave spectra from heave-pitch-roll time series

Skarsoulis, EK; Athanassoulis, GA

dc.contributor.author	Skarsoulis, EK	en
dc.contributor.author	Athanassoulis, GA	en
dc.date.accessioned	2014-03-01T02:48:12Z
dc.date.available	2014-03-01T02:48:12Z
dc.date.issued	1993	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33631
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0027307105&partnerID=40&md5=e674acd3c90a9eb98a9a61e2f54b8647	en
dc.subject.other	Estimation	en
dc.subject.other	Oceanography	en
dc.subject.other	Probability	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Time series analysis	en
dc.subject.other	Directional wave spectrum	en
dc.subject.other	Heave pitch roll time series	en
dc.subject.other	Maximum likelihood method	en
dc.subject.other	Sample spectra probability distribution	en
dc.subject.other	Wishart distribution	en
dc.subject.other	Water waves	en
dc.title	Use of classical maximum likelihood method for estimating directional wave spectra from heave-pitch-roll time series	en
heal.type	conferenceItem	en
heal.publicationDate	1993	en
heal.abstract	The joint statistics of averaged sample auto- and cross-spectra from a heave-pitch-roll-time series is studied. It is found that the corresponding joint probability distribution belongs to the class of Wishart distributions. Using this result , a maximum likelihood scheme is proposed for the estimation of target heave-pitch-roll auto and cross-spectra, from given averaged sample spectra, taking into account the statistical variability of the latter as well as the energy constraint between auto-spectra. These maximum likelihood estimates are then used for retrieving the directional wave spectrum; a parametric model is used for the latter, permitting the represent unimodal, bimodal or skewed spectral distributions, per frequency band. It is numerically confirmed that the use of the maximum likelihood estimated, instead of the corresponding averaged sample spectra, improves the estimate of the directional wave spectrum.	en
heal.publisher	Publ by Int Soc of Offshore and Polar Engineerns (ISOPE), Golden, CO, United States	en
heal.journalName	Proceedings of the Third (1993) International Offshore and Polar Engineering Conference	en
dc.identifier.spage	1	en
dc.identifier.epage	8	en