Probabilistic Modeling of Wind Direction Data Related to Meteorological Stations of Kurdistan Province Using Skew Circular Distributions

Document Type : Original Paper


Department of Statistics, University of Tarbiat Modares


In studying some phenomena, the researchers are usually encountered with data that are not Euclidean in nature. To investigate the properties of these data, it is required to use some new statistical tools. Statistical methods to analysis these typical data are called non-linear statistics. Circular statistics is an example of this field. After explaining some circular distributions that are able to model skew circular data, probabilistic modeling of wind direction data related to meteorological stations of Kurdistan province is studied in this paper.


Main Subjects

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