On the choice of data transformation for modelling time series of significant wave height

被引：53

作者：

Cunha, C ^{[1
]}

Soares, CG ^{[1
]}

机构：

[1] Univ Tecn Lisboa, Inst Super Tecn, Unit Marine Technol & Engn, P-1096 Lisbon, Portugal

来源：

OCEAN ENGINEERING | 1999年 / 26卷 / 06期

关键词：

data transformation; time series modelling; wave height;

D O I：

10.1016/S0029-8018(98)00014-6

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Autoregressive models have been shown to adequately model the time series of significant wave height. However, since this series exhibits a seasonal component and has a non-gaussian nature, it is necessary to transform the series before a model can be fit to the data. Two different transformations that have been used in earlier work are shown not to be appropriate for all types of applications. A third transformation is proposed here, which combines the better features of the two earlier ones and which is appropriate for simulation work. This is demonstrated with an example of a series from Figueira da Foz, a location of the Portuguese Coast. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：489 / 506

页数：18

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