Based on simple time series plots and periodic sample autocorrelations, we document that monthly river flow data display long memory, in addition to pronounced seasonality. In fact, it appears that the long memory characteristics vary with the season. To describe these two properties jointly, we...

This paper is divided into two parts. The first part reviews the theoretical arguments that have surrounded the issue of the deterioration in the terms of trade since the 1950s. The second part reviews critically some of the most important methods used to test the hypothesis of deterioration in...

Based on simple time series plots and periodic sample autocorrelations, we document that monthly river flow data display long memory, in addition to pronounced seasonality. In fact, it appears that the long memory characteristics vary with the season. To describe these two properties jointly, we...

Data from satellites are invaluable for applications including long-term climate studies and engineering design. Most present applications of wind-wave research for coastal engineering and environmental purposes involve the use of numerical models that simulate the evolution of directional wave...

The modified Weibull spectrum is utilized to calculate the zeroth spectral moment (m<Subscript>o</Subscript>) using Monte Carlo integration methods. Then significant wave height (H<Subscript>s</Subscript>) is calculated using the formula <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$ {\text{H}}_{\text{s}}=4\sqrt {{\text{m}}_{\text{o}} } . $$</EquationSource> </InlineEquation> This is validated with observed buoy...</equationsource></inlineequation></subscript></subscript>

A trivariate maximum entropy distribution of significant wave height, wind speed and the relative direction is proposed here. In this joint distribution, all the marginal variables follow modified maximum entropy distributions, and they are combined by a correlation coefficient matrix based on...

Accurate estimation of extreme wave conditions is critical for offshore renewable energy activities and applications. The use of numerical wind and wave models gives a credible and convenient way of monitoring the general atmospheric and sea state conditions, especially in the absence of...

This paper introduces four kinds of novel bivariate maximum entropy distributions based on bivariate normal copula, Gumbel–Hougaard copula, Clayton copula and Frank copula. These joint distributions consist of two marginal univariate maximum entropy distributions. Four types of Poisson...

This paper presents a comparative analysis of linear and mixed models for short term forecasting of a real data series with a high percentage of missing data. Data are the series of significant wave heights registered at regular periods of three hours by a buoy placed in the Bay of Biscay. The...