@article{article_423871, title={With Copula Method Modeling of daily maximum and minimum temperature changes in Bitlis province}, journal={Bitlis Eren Üniversitesi Fen Bilimleri Dergisi}, volume={7}, pages={268–275}, year={2018}, DOI={10.17798/bitlisfen.423871}, author={Metin Karakaş, Ayşe}, keywords={Copula functions,Kendall Tau,Spearman Rho,Goodness of fit test,Akaike information criteria}, abstract={<p class="MsoNormal" style="text-align:justify;line-height:normal;"> <span lang="en-us" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-us">This
paper aims to examine the relationship between  daily maximum and minimum temperatures of  Bitlis in Turkey between 2012-2017 years with
Copula method. To present the relationship between the variables, we use copula
families such as; Gumbel, Clayton, Frank, 
Joe, Gaussian and Survival Clayton copula.  To explain dependence structures of the data
set and to determine parameters of  Gumbel,
Clayton, Frank,  Joe, Gaussian and
Survival Clayton copula families, we calculate Kendall Tau and Spearman Rho
values which are nonparametric. With he help of  Kolmogorov Smirnov, Cramer Von Mises which are
goodness of  fit test, Maximum likelihood
method, Akaike information Criteria ad Bayes information criteria, we find the
suitable copula family for this data set. 
The results show that there is a strong dependence between daily maximum
and minimum temperatures of Bitlis between 2012-2017 years.  </span> <b> <span lang="en-us" style="font-size:12pt;font-family:’Times New Roman’, serif;" xml:lang="en-us"> </span> </b> </p> <p> <b> </b> </p> <b> </b>}, number={2}, publisher={Bitlis Eren University}