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Information Journal Paper

Title

PROBABILISTIC MODELING OF WIND DIRECTION DATA RELATED TO METEOROLOGICAL STATIONS OF KURDISTAN PROVINCE USING SKEW CIRCULAR DISTRIBUTIONS

Author(s)

 MOSAFERI GHOMI KOLAHI HAMIDREZA | GOLALIZADEH MOUSA | Issue Writer Certificate 

Pages

  75-87

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.

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    APA: Copy

    MOSAFERI GHOMI KOLAHI, HAMIDREZA, & GOLALIZADEH, MOUSA. (2015). PROBABILISTIC MODELING OF WIND DIRECTION DATA RELATED TO METEOROLOGICAL STATIONS OF KURDISTAN PROVINCE USING SKEW CIRCULAR DISTRIBUTIONS. ADVANCES IN MATHEMATICAL MODELING, 5(1), 75-87. SID. https://sid.ir/paper/243921/en

    Vancouver: Copy

    MOSAFERI GHOMI KOLAHI HAMIDREZA, GOLALIZADEH MOUSA. PROBABILISTIC MODELING OF WIND DIRECTION DATA RELATED TO METEOROLOGICAL STATIONS OF KURDISTAN PROVINCE USING SKEW CIRCULAR DISTRIBUTIONS. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2015;5(1):75-87. Available from: https://sid.ir/paper/243921/en

    IEEE: Copy

    HAMIDREZA MOSAFERI GHOMI KOLAHI, and MOUSA GOLALIZADEH, “PROBABILISTIC MODELING OF WIND DIRECTION DATA RELATED TO METEOROLOGICAL STATIONS OF KURDISTAN PROVINCE USING SKEW CIRCULAR DISTRIBUTIONS,” ADVANCES IN MATHEMATICAL MODELING, vol. 5, no. 1, pp. 75–87, 2015, [Online]. Available: https://sid.ir/paper/243921/en

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