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Information Journal Paper

Title

ESTIMATIONS OF MAXIMAL GENERALIZED EXTREME VALUE DISTRIBUTION PARAMETERS AND MODELING OF EXTREME WIND SPEEDS IN ZAHEDEN CITY

Pages

  207-225

Abstract

 Distribution of extreme values of a data set is especially used in natural phenomena including flow discharge, wind speeds, precipitation and it is also used in many other applied sciences such as reliability studies and analysis of environmental extreme events. So if one can model the extremal behavior, then the manner of their future behavior can be predicted. This article is devoted to study extreme wind speeds in Zahedan city using MAXIMAL GENERALIZED EXTREME VALUE DISTRIBUTION. In this article, we apply four methods to estimate distribution parameters including maximum likelihood estimation, PROBABILITY WEIGHTED MOMENTS, ELEMENTAL PERCENTILE and quantile least squares then compare estimates by average scaled absolute error criterion. We also obtain quantiles estimation and confidence intervals. As a part of result, return period of maximum wind speeds are computed.

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    APA: Copy

    ASHOORI, FARNOOSH, EBRAHIMPOUR, MALIHE, & BOZORGNIA, ABOLGHASEM. (2016). ESTIMATIONS OF MAXIMAL GENERALIZED EXTREME VALUE DISTRIBUTION PARAMETERS AND MODELING OF EXTREME WIND SPEEDS IN ZAHEDEN CITY. JOURNAL OF STATISTICAL SCIENCES, 9(2), 207-225. SID. https://sid.ir/paper/124099/en

    Vancouver: Copy

    ASHOORI FARNOOSH, EBRAHIMPOUR MALIHE, BOZORGNIA ABOLGHASEM. ESTIMATIONS OF MAXIMAL GENERALIZED EXTREME VALUE DISTRIBUTION PARAMETERS AND MODELING OF EXTREME WIND SPEEDS IN ZAHEDEN CITY. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2016;9(2):207-225. Available from: https://sid.ir/paper/124099/en

    IEEE: Copy

    FARNOOSH ASHOORI, MALIHE EBRAHIMPOUR, and ABOLGHASEM BOZORGNIA, “ESTIMATIONS OF MAXIMAL GENERALIZED EXTREME VALUE DISTRIBUTION PARAMETERS AND MODELING OF EXTREME WIND SPEEDS IN ZAHEDEN CITY,” JOURNAL OF STATISTICAL SCIENCES, vol. 9, no. 2, pp. 207–225, 2016, [Online]. Available: https://sid.ir/paper/124099/en

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