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    • 02) Bitlis Eren University Journal of Science and Technology
    • Cilt 07, Sayı 1 (2017)
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    •   DSpace Home
    • 2-DERGİLER
    • 02) Bitlis Eren University Journal of Science and Technology
    • Cilt 07, Sayı 1 (2017)
    • View Item
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    Modelling temperature measurement data by using copula functions

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    Date
    2017
    Author
    METİN KARAKAŞ, Ayşe
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    Abstract
    In this study, methods of copula estimation are used and the temperature measurement data of the four regions located at the same positions in the range of 01.01.2008 - 30.04.2009 was modeled with copula functions. For dependence structures of the data sets, it is calculated Kendall Tau and Spearman Rho values which are nonparametric. Based on this method, parameters of copula are obtained. A clear advantage of the copula-based model is that it allows for maximum-likelihood estimation using all available data. The main aim of the method is to find the parameters that make the likelihood functions get its maximum value. With the help of the maximum-likelihood estimation method, for copula families, it is obtained likelihood values. These values, Akaike information criteria (AIC) are used to determine which copula supplies the suitability for the data set.
    URI
    http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13819
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    • Cilt 07, Sayı 1 (2017) [7]





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