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A Study of Wind Statistics Through Auto-Regressive and Moving-Average (ARMA) Modeling 被引量:1
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作者 John Z.YIM(尹彰) +1 位作者 chunren CHOU(周宗仁) 《China Ocean Engineering》 SCIE EI 2001年第1期61-72,共12页
Statistical properties of winds near the Taichung Harbour are investigated. The 26 years'incomplete data of wind speeds, measured on an hourly basis, are used as reference. The possibility of imputation using simu... Statistical properties of winds near the Taichung Harbour are investigated. The 26 years'incomplete data of wind speeds, measured on an hourly basis, are used as reference. The possibility of imputation using simulated results of the Auto-Regressive (AR), Moving-Average (MA), and/ or Auto-Regressive and Moving-Average (ARMA) models is studied. Predictions of the 25-year extreme wind speeds based upon the augmented data are compared with the original series. Based upon the results, predictions of the 50- and 100-year extreme wind speeds are then made. 展开更多
关键词 Auto-Regressive and Moving-Average (ARMA) modeling probability distributions extreme wind speeds
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