TY - JOUR T1 - Analysis of Wind Speed Data Based on the New Upper Truncated Inverse Weibull Distribution; A Case Study: Ardabil, Iran TT - تحلیل داده‌های سرعت باد براساس توزیع وایبول وارون بالا بریده‌ی جدید (UTIW); مطالعه‌ای موردی: اردبیل، ایران JF - srtc-jsri JO - srtc-jsri VL - 16 IS - 2 UR - http://jsri.srtc.ac.ir/article-1-379-en.html Y1 - 2020 SP - 319 EP - 342 KW - Inverse Weibull distribution KW - upper truncated inverse Weibull distribution KW - wind speed KW - parameters estimation KW - Monte-Carlo simulation KW - model selection criteria. N2 - In this paper, for the first time, the upper truncated inverse Weibull (UTIW) distribution is proposed for modeling wind speed data. Since there is a upper limit for empirical wind speed data, this data can be represented by using the UTIW distribution. In this study, the UTIW distribution is introduced and some of its statistical properties are studied. Then, the parameters of this distribution are estimated by using different methods. Simulation studies for these estimators are presented. In addition, the mentioned distribution performance is tested on real wind speed data of Ardabil province in Iran. Based on the results of the analysis, it is found that the presented distribution in this study for modeling wind speed data is more appropriate than recently introduced distributions. Finally, this distribution can be used as an alternative model for evaluating wind speed data. M3 10.52547/jsri.16.2.319 ER -