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Year 2012, Volume: 25 Issue: 2, 417 - 424, 17.04.2012

Abstract

References

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  • Cook RD, Johnson ME,. A family of distributions for modeling non-elliptically symmetric multivariate data. J. Roy Statist. Soc. SerB 43:210-218(1981).
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  • 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).
  • 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).

An Application of Archimedean Copulas for Meteorological Data

Year 2012, Volume: 25 Issue: 2, 417 - 424, 17.04.2012

Abstract

In this study, we show an application of Archimedean copulas for meteorological data, which may be of interest in its own right. Hence we take monthly lowest and highest air temperature records from 1951 to 2005 in Tehran, and then we investigate a suitable family of Archimedean copulas to fit this data. Then we characterize the interval of suitable, and also the best copula parameter. Moreover, basic properties of Archimedean copulas will be presented.

References

  • Ali, MM,. Mikhail, NN,.Haq, MS,. A class of bivariate distributions including the bivariate logistic. Multivariate Anal. 8: 405-412 (1978).
  • 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).
  • Conway, DA,. Plackett family of distributions. In: Kotz S. Johnson NL (eds). Encyclopedia of Statistical Sciences, Vol 7. Wiley, New York, 1-5 (1986).
  • 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).
  • 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).
There are 19 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Statistics
Authors

Vadoud Najjarı This is me

Mehmet Unsal

Publication Date April 17, 2012
Published in Issue Year 2012 Volume: 25 Issue: 2

Cite

APA Najjarı, V., & Unsal, M. (2012). An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science, 25(2), 417-424.
AMA Najjarı V, Unsal M. An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science. April 2012;25(2):417-424.
Chicago Najjarı, Vadoud, and Mehmet Unsal. “An Application of Archimedean Copulas for Meteorological Data”. Gazi University Journal of Science 25, no. 2 (April 2012): 417-24.
EndNote Najjarı V, Unsal M (April 1, 2012) An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science 25 2 417–424.
IEEE V. Najjarı and M. Unsal, “An Application of Archimedean Copulas for Meteorological Data”, Gazi University Journal of Science, vol. 25, no. 2, pp. 417–424, 2012.
ISNAD Najjarı, Vadoud - Unsal, Mehmet. “An Application of Archimedean Copulas for Meteorological Data”. Gazi University Journal of Science 25/2 (April 2012), 417-424.
JAMA Najjarı V, Unsal M. An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science. 2012;25:417–424.
MLA Najjarı, Vadoud and Mehmet Unsal. “An Application of Archimedean Copulas for Meteorological Data”. Gazi University Journal of Science, vol. 25, no. 2, 2012, pp. 417-24.
Vancouver Najjarı V, Unsal M. An Application of Archimedean Copulas for Meteorological Data. Gazi University Journal of Science. 2012;25(2):417-24.