Said Benlakhdar, Mohammed Rziza, Rachid Oulad Haj Thami
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引用次数: 0
摘要
多模态和非对称循环数据体现在不同的学科中,这突出了拟合合适的分布来分析此类数据的重要性。本研究进行了全面的比较评估,涵盖了冯-米塞斯分布的各种扩展和相关统计方法,时间跨度从理查德-冯-米塞斯 1918 年的开创性工作到当代应用,尤其侧重于风能领域。主要目的是辨别每种方法固有的优势和局限性。为了说明实际意义,本文纳入了三个真实数据集和一项模拟研究,以展示所提模型的性能。此外,本文还提供了与 von Mises 分布模型相关的详尽参考文献列表。
In-depth Analysis of von Mises Distribution Models: Understanding Theory, Applications, and Future Directions
Multimodal and asymmetric circular data manifest in diverse disciplines, underscoring the significance of fitting suitable distributions for the analysis of such data. This study undertakes a comprehensive comparative assessment, encompassing diverse extensions of the von Mises distribution and the associated statistical methodologies, spanning from Richard von Mises' seminal work in 1918 to contemporary applications, with a particular focus on the field of wind energy. The primary objective is to discern the strengths and limitations inherent in each method. To illustrate the practical implications, three authentic datasets and a simulation study are incorporated to showcase the performance of the proposed models. Furthermore, this paper provides an exhaustive list of references pertinent to von Mises distribution models.