Abstract: Methods are examined for the estimation of extreme wind speeds from short records. They involve monthly winds (proposed method) and yearly winds (conventional method) and assume that these wind series are stationary, ...

Abstract: Mean crossings rates are determined for translation series, which can be obtained from correlated Gaussian series by nonlinear transformations. Translation series have a specified marginal distribution and correlation ...

Abstract: The distribution is approximated for extremes of linear combinations of specialized non‐Gaussian models (translation processes) used to represent intermittent loads. These models can be generated from smooth normal processes ...

Abstract: Simulation of random processes is frequently based on discrete approximations of the power spectral density of these processes. This study evaluates effects of these approximations on simulation-based estimates of the mean ...

Abstract: Probabilistic and statistical descriptors are developed for the response of nonhysteretic oscillators subject to modulated Gaussian ground acceleration with uncertain scale. The probabilistic descriptors correspond to ...

Abstract: A method is developed for generating samples of the state

Abstract: Non-Gaussian elliptically contoured autoregressive moving average (EC-ARMA) processes are defined as ARMA models with non-Gaussian noise. The driving noise series is uncorrelated but generally dependent, and follows ...

Abstract: A simulation algorithm is developed for generating realizations of non-Gaussian stationary translation processes