Statistical analysis of stationary intervals for random waves

School Of Mathematical Sciences

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

Published

Standard

Statistical analysis of stationary intervals for random waves. / Alvarez-Esteban, Pedro C.; Euán, Carolina; Ortega, Joaquín.
In Proceedings of the 26th International Offshore and Polar Engineering Conference. 2016.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

Harvard

Alvarez-Esteban, PC, Euán, C & Ortega, J 2016, Statistical analysis of stationary intervals for random waves. in In Proceedings of the 26th International Offshore and Polar Engineering Conference. The 26th International Ocean and Polar Engineering Conference, Rhodes, Greece, 26/06/16.

APA

Alvarez-Esteban, P. C., Euán, C., & Ortega, J. (2016). Statistical analysis of stationary intervals for random waves. In In Proceedings of the 26th International Offshore and Polar Engineering Conference

Vancouver

Alvarez-Esteban PC, Euán C, Ortega J. Statistical analysis of stationary intervals for random waves. In In Proceedings of the 26th International Offshore and Polar Engineering Conference. 2016

Author

Alvarez-Esteban, Pedro C. ; Euán, Carolina ; Ortega, Joaquín. / Statistical analysis of stationary intervals for random waves. In Proceedings of the 26th International Offshore and Polar Engineering Conference. 2016.

Bibtex

@inproceedings{ffd50f08d29446fdbca4c544028e3589,

title = "Statistical analysis of stationary intervals for random waves",

abstract = "In this work we consider the problem of detection of stationary intervals for random waves using clustering techniques for time series. The detection of changes in time series from an spectral point of view has been studied in several areas, but the methods proposed usually focus on detecting instantaneous changes, and the results are not satisfactory when changes are slow, which is frequently the case for waves. In the method used in this work there is a change of viewpoint: instead of looking for change-points, the method looks for intervals having similar oscillatory behavior as candidates for stationary periods. The procedure is based on the comparison of normalized estimated spectral densities using the total variation distance. This method is applied to a long data series of buoy measurements and the results are statistically analyzed. This analysis gives statistical characteristics for the duration of stationary intervals, which may vary for different periods of the year.",

author = "Alvarez-Esteban, {Pedro C.} and Carolina Eu{\'a}n and Joaqu{\'i}n Ortega",

year = "2016",

month = jun,

day = "26",

language = "Undefined/Unknown",

isbn = "9781880653883",

booktitle = "In Proceedings of the 26th International Offshore and Polar Engineering Conference",

note = "The 26th International Ocean and Polar Engineering Conference ; Conference date: 26-06-2016 Through 02-07-2016",

}

RIS

TY - GEN

T1 - Statistical analysis of stationary intervals for random waves

AU - Alvarez-Esteban, Pedro C.

AU - Euán, Carolina

AU - Ortega, Joaquín

PY - 2016/6/26

Y1 - 2016/6/26

N2 - In this work we consider the problem of detection of stationary intervals for random waves using clustering techniques for time series. The detection of changes in time series from an spectral point of view has been studied in several areas, but the methods proposed usually focus on detecting instantaneous changes, and the results are not satisfactory when changes are slow, which is frequently the case for waves. In the method used in this work there is a change of viewpoint: instead of looking for change-points, the method looks for intervals having similar oscillatory behavior as candidates for stationary periods. The procedure is based on the comparison of normalized estimated spectral densities using the total variation distance. This method is applied to a long data series of buoy measurements and the results are statistically analyzed. This analysis gives statistical characteristics for the duration of stationary intervals, which may vary for different periods of the year.

AB - In this work we consider the problem of detection of stationary intervals for random waves using clustering techniques for time series. The detection of changes in time series from an spectral point of view has been studied in several areas, but the methods proposed usually focus on detecting instantaneous changes, and the results are not satisfactory when changes are slow, which is frequently the case for waves. In the method used in this work there is a change of viewpoint: instead of looking for change-points, the method looks for intervals having similar oscillatory behavior as candidates for stationary periods. The procedure is based on the comparison of normalized estimated spectral densities using the total variation distance. This method is applied to a long data series of buoy measurements and the results are statistically analyzed. This analysis gives statistical characteristics for the duration of stationary intervals, which may vary for different periods of the year.

M3 - Conference contribution/Paper

SN - 9781880653883

BT - In Proceedings of the 26th International Offshore and Polar Engineering Conference

T2 - The 26th International Ocean and Polar Engineering Conference

Y2 - 26 June 2016 through 2 July 2016

ER -

Research