TY  - JOUR
T1  - With Copula Method Modeling of daily maximum and minimum temperature changes in Bitlis province
TT  - Bitlis İlindeki Günlük Maksimum ve Minumum Sıcaklık Değişimlerinin Copula Metodu ile Modellenmesi
AU  - Metin Karakaş, Ayşe
PY  - 2018
DA  - December
Y2  - 2018
DO  - 10.17798/bitlisfen.423871
JF  - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
PB  - Bitlis Eren University
WT  - DergiPark
SN  - 2147-3129
SP  - 268
EP  - 275
VL  - 7
IS  - 2
LA  - en
AB  - Thispaper aims to examine the relationship between daily maximum and minimum temperatures of Bitlis in Turkey between 2012-2017 years withCopula method. To present the relationship between the variables, we use copulafamilies such as; Gumbel, Clayton, Frank,Joe, Gaussian and Survival Clayton copula. To explain dependence structures of the dataset and to determine parameters of Gumbel,Clayton, Frank, Joe, Gaussian andSurvival Clayton copula families, we calculate Kendall Tau and Spearman Rhovalues which are nonparametric. With he help of Kolmogorov Smirnov, Cramer Von Mises which aregoodness of fit test, Maximum likelihoodmethod, Akaike information Criteria ad Bayes information criteria, we find thesuitable copula family for this data set.The results show that there is a strong dependence between daily maximumand minimum temperatures of Bitlis between 2012-2017 years.
KW  - Copula functions
KW  - Kendall Tau
KW  - Spearman Rho
KW  - Goodness of fit test
KW  - Akaike information criteria
N2  - Bu makalenin amacı Bitlisin 2012-2017 yıllarıarasındaki günlük maksimum ve minumum sıcaklıkları arasındaki ilişkiyi Copulamethodu ile açıklamaktır. İlişkiyi açıklamak için çeşitli copula ailelerikullanılmıştır. Bunlar; Gumbel, Clayton,Frank, Joe, Gaussian ve Survival Claytondur.Bağımlılık yapısını açıklamak veGumbel, Clayton, Frank, Joe, Gaussian veSurvival Clayton copula ailelerinin parametrelerini belirlemek için parametrik olmayan metod olan KendallTau ve Spearman Rho değerleri hesaplanmıştır. Uyum iyiliği testleri KolmogorovSmirnov, Cramer on Mises, maksimumoalabilirlik metodu, Akaike blgi kriteri ve Bayes bilgi kriteri yardımıyla veriseti için uygun copula ailesi bulunmuştur. Sonuçlar Bitlisin 2012 yılı ile 2017yılları arasında günlük maksimum ve minumum sıcaklık değişimleri için güçlü birbağımlılık olduğunu göstermiştir.
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UR  - https://doi.org/10.17798/bitlisfen.423871
L1  - https://dergipark.org.tr/en/download/article-file/609080
ER  -