KaydedilenlerDerginizi ekleyin

Dergiler / Gazi University Journal of Science / 2012 / Cilt: 25 - Sayı: 2

An Application of Archimedean Copulas for Meteorological Data

Vadoud NAJJARI
Mehmet Guray UNSAL
Sayfa
417–424
Yayın Tarihi
2012-04-16
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Then we characterize interval of suitable theta, and also figure out the best theta

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This paper suggests a goodness-of-fit test for monthly lowest and highest air temperature records from years 1951 to 2005 in Tehran -Iran(648 data), based on the classical chi-square statistic.
📊
Temel Bulgular & Veri:After remembering some notes about Archimedean Copulas, we will see (for this data), which families of Copulas are suitable.
💡
Sonuç & Katkı:Then we characterize interval of suitable theta, and also figure out the best theta
🔬Tür:Araştırma Makalesi
📍Kapsam:2005 Verileri
⚙️Değişkenler:Archimedean Copulas · Goodness-of-fit test · Meteorological data

Abstract

This paper suggests a goodness-of-fit test for monthly lowest and highest air temperature records from years 1951 to 2005 in Tehran -Iran(648 data), based on the classical chi-square statistic. After remembering some notes about Archimedean Copulas, we will see (for this data), which families of Copulas are suitable. Then we characterize interval of suitable theta, and also figure out the best theta

🔖

Bu Makaleye Atıf Yap

NAJJARI, V., UNSAL, M. G. (2012). An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science, Cilt: 25 - Sayı: 2, 417–424. https://ajindex.com/articles/255318

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (5)

  1. Ali, MM,. Mikhail, NN,.Haq, MS,. A class of bivariate distributions including the bivariate logistic. Multivariate Anal. 8: 405-412 (1978).
  2. Çelebioğlu, S,. Archimedean Copulas And An Application, S Ü Fen Ed Fak Fen Derg, 22 (2003) 43- 52, KONYA. Clayton, DG,. A model for association in bivariate life tables and its applicationin epidemiological studies of familial tendency in chronic disease incidence. Biometrika, 65: 141-151(1978).
  3. Conway, DA,. Plackett family of distributions. In: Kotz S. Johnson NL (eds). Encyclopedia of Statistical Sciences, Vol 7. Wiley, New York, 1-5 (1986).
  4. Cook RD, Johnson ME,. A family of distributions for modeling non-elliptically symmetric multivariate data. J. Roy Statist. Soc. SerB 43:210-218(1981). Cook RD,. Johnson ME,.Generalized Burr-Pareto- logistic distributions withapplications to a uranium exploration data set. Technometrics 28:123- 131(1986). Cox DR,. Oakes D,. Analysis of Survival Data. Chapman and Hall, London (1984). Emura T,. LinCW,. Wang W,. A goodness-of-fit test for Archimedean copula models in the presence ofright censoring. Computational Statistics and Data Analysis, (2008). Frank MJ,. On the simultaneous associativity of ( ) and ( ). Aequationes Math 19:194-226 (1979). Genest,C., Rivest L.P,. Statistical Inference Procedures for Bivariate Archimedean Copulas. Journal of the American Statistical Association, Vol. 88, No. 423, pp. 1034-1043 (1993). Genest C,.MacKay J,. Copules archimédien nesetfamilles de loisbidimension nellesdont les margessontdonnées. Canad. J. Statist., 14:145-159 (1986a). Genest C,. MacKay J,. The joy of copulas: Bivariate distributions with uniform marginals. Amer. Statist. 40:280-285 (1986b). Gumbel EJ,. Distributions des valeursextrêmes en plusiers dimensions. PublInst. Statist. Univ. Paris 9:171-173 (1960b). Hougaard P,. A class of multivariate failure time distributions. Biometrika, 73:671-678 (1986). Hutchinson TP,. Lai CD,. Continuous Bivariate Distributions, Emphasising Applications. Rumsby Scientific Publishing, Adelaide (1990). I.R. OF Iran meteorological organization (IRIMO). Joe, H,. Multivariate Models and Dependence Concepts. Chapman & Hall, London (1997).
  5. Nelsen, R.B,. An Introduction to Copulas, Springer, New York (1999). Plackett RL,. A class of bivariate distributions. J Amer. Statist. Assoc, 60:516-522(1965).