BibTex RIS Kaynak Göster

Yıl 2014, Cilt: 63 Sayı: 2, 109 - 118, 01.08.2014

Mehmet Yılmaz Buse Büyüm

https://doi.org/10.1501/Commua1_0000000716

Öz

Kaynakça

  • [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

A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA

Yıl 2014, Cilt: 63 Sayı: 2, 109 - 118, 01.08.2014

Mehmet Yılmaz Buse Büyüm

https://doi.org/10.1501/Commua1_0000000716

Öz

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

Anahtar Kelimeler

Air-conditioning data expectation-maximization algorithm (EM) least square method (LSE) life data modeling maximum likelihood method (MLE) mixed exponential distribution

Kaynakça

  • [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
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Article
Yazarlar

Mehmet Yılmaz Bu kişi benim

Buse Büyüm Bu kişi benim

Yayımlanma Tarihi 1 Ağustos 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 63 Sayı: 2

Kaynak Göster

APA Yılmaz, M., & Büyüm, B. (2014). A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 63(2), 109-118. https://doi.org/10.1501/Commua1_0000000716
AMA Yılmaz M, Büyüm B. A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. Ağustos 2014;63(2):109-118. doi:10.1501/Commua1_0000000716
Chicago Yılmaz, Mehmet, ve Buse Büyüm. “A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 63, sy. 2 (Ağustos 2014): 109-18. https://doi.org/10.1501/Commua1_0000000716.
EndNote Yılmaz M, Büyüm B (01 Ağustos 2014) A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 63 2 109–118.
IEEE M. Yılmaz ve B. Büyüm, “A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., c. 63, sy. 2, ss. 109–118, 2014, doi: 10.1501/Commua1_0000000716.
ISNAD Yılmaz, Mehmet - Büyüm, Buse. “A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 63/2 (Ağustos 2014), 109-118. https://doi.org/10.1501/Commua1_0000000716.
JAMA Yılmaz M, Büyüm B. A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2014;63:109–118.
MLA Yılmaz, Mehmet ve Buse Büyüm. “A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, c. 63, sy. 2, 2014, ss. 109-18, doi:10.1501/Commua1_0000000716.
Vancouver Yılmaz M, Büyüm B. A STUDY ON MODELING OF PHENOMENA AIR CONDITIONING DATA. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2014;63(2):109-18.

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

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