Journal of Advanced Mathematical Modeling

Journal of Advanced Mathematical Modeling

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

Document Type : Original Paper

Authors
Mousa Golalizadeh
Hamidreza Mosaferi Ghomikolaee
Department of Statistics, University of Tarbiat Modares
10.22055/jamm.2015.11492
Abstract
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.
Keywords
Non-linear statistics
Circular distributions
Skewness
Wind direction data
Subjects
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  • Receive Date 17 April 2015
  • Revise Date 10 October 2015
  • Accept Date 16 December 2015