A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA

This study is based on modeling of phenomena air-conditioningdata set, which has been trying to model in many times by diğerent authors,with mixed exponential distribution with two-component (2MED). Since 1963,the whole data or some part of the data has been taken as real data in modeling study. These studies have been taken into account to detect the bestmodel. Inspiring from studies led by Proschan F. (1963), the obtained resultsby modeling this data set with 2MED are of our interest. For this purpose,brief summary of the studies in literature has been given. After that, the results have been compared with results of 2MED. We claim that 2MED will belocated among the purposed models

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  • [1] AÁ¨kgˆz, I., 2007. Sonlu karma dag¨l¨mlarda parametre tahmini, PhD Thesis, Graduate School º of Natural and Applied Sciences, Ankara University, Turkey.
  • [2] Chahkandi, M. and Ganjali, M., 2009. On some lifetime distributions with decreasing failure rate. Computational Statistics and Data Analysis, Vol. 53, , pp. 4433- 4440.
  • [3] Davison, A.C. and Hinkley D.V., 1997. Bootstrap methods and their application, Cambridge Series in Statistical and Probabilistic Mathematics, 1 edition, 594 p.
  • [4] Dempster, A.P., Laird, N.M., Rubin, D.B., 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Statist.Soc. Ser. B 39, 1-38.
  • [5] Everitt, E.S. and Hand, D.J., 1981. Finite Mixture Distributions, London: Chapman and Hall.
  • [6] Gupta, R.D. and Kundu, D., 2000. Generalized exponential distribution: di§erent method of estimations, Journal of Statistical Computation Simulation, Vol. 00, pp. 1 - 22.
  • [7] Gupta R.D. and Kundu, D., 2003. Closeness of Gamma and Generalized Exponential Distribution. Communications in Statistics, Volume 32, Issue 4, , pp. 705-721.
  • [8] Kus, C. 2007. A new lifetime distribution, Computational Statistics & Data Analysis, 51 4497 - 4509.
  • [9] Lin, C. and Ke, S., 2013. Estimation of P(Y
  • [10] G.J. McLachlan, G.J. and Krishnan, T., 2008. The EM algorithm and extensions. John Wiley & Sons, Inc., Hoboken, New Jersey.
  • [11] Oluyede, B. O., Huang, S. and Pararai, M., 2014. A New Class of Generalized Dagum Distribution with Applications to Income and Lifetime Data, Journal of Statistical and Econometric Methods, vol.3, no.2, 125-151.
  • [12] Proschan, F., 1963. Theoretical explanation of observed decreasing failure rate. Technometrics 5, 375-383.
  • [13] Ren, Y., 2011. The methodology of áowgraph models, PhD Thesis, Department of Statistics London School of Economics and Political Science.
  • [14] A.I. Shawky, A.I., Badr, M.M., 2012. Estimations and prediction from the inverse rayleigh model based on lower record statistics. Life Science Journal (9;1).
  • [15] Tahmasbi, R., Rezaei, S., 2008. A two-parameter lifetime distribution with decreasing failure rate. Computational Statistics and Data Analysis, Vol. 52, pp.3889-3901.
  • [16] Tian,Y., Tian, M. and Zhu, Q., 2014. Estimating a Finite Mixed Exponential Distribution under Progressively Type-II Censored Data, Vol. 43(17), pages 3762-3776