Araştırma Makalesi
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Discrete time shock model with varying success probability

Yıl 2019, Cilt: 12 Sayı: 1, 13 - 24, 31.07.2019

Öz

    Let us consider a system fails when the time between two consecutive shocks falls below a fixed threshold $\delta \in N$ and the system's  lifetime is measured as the time up to the occurrence of  this event. In this paper, we consider the interarrival times between $(i-1)$ i-th and $i$- th successive shocks follow a geometric distribution with mean 1/pi ,where pi =theta*pi-1i=1,2,..., ,0<theta<1, 0<p<1. Under the above considerations, the distribution of system lifetime is obtained. Probability generating function and than also moments of system are derived. The proportion estimates of distribution parameters are studied. A numerical example is also presented buy using real data.

Kaynakça

  • Sumita, U. and Shanthikumar J.G. (1985). A class of correlated cumulative shock models. Advances in Applied Probability, 17, 347-366.
  • Gut, A. (1990). Cumulative shock models. Advances in Applied Probability, 22, 504-507.
  • Mallor, F. and Omey E. (2001). Shocks, runs and random sums. Journal of Applied Probability, 38, 438-448.
  • Wang, G.J. and Zhang Y.L. (2005). A shock model with two-type failures and optimal replacement policy. International Journal of Systems Science, 36, 209-214.
  • Bai, J-M., Li, Z-H. and Kong, X-B. (2006). Generalized shock models based on a cluster point process. IEEE Transactions on Reliability, 55, 542-550.
  • Li, Z.H. and Kong, X.B. (2007). Life behavior of δ-shock model. Statistics and Probability Letters, 77, 577-587.
  • Li, Z.H. and Zhao, P. (2007). Reliability analysis on the δ-shock model of complex systems. IEEE Transactions on Reliabilit, 56, 340-348.
  • Eryilmaz, S. (2012). Generalized δ-shock model via runs. Statistics and Probability Letters, 82, 326-331.
  • Eryilmaz, S. (2013). On the lifetime behavior of a discrete time shock model. Journal of Computational and Applied Mathematics, 237, 384-388.
  • Charalambides, C.A. (2010). The q-Bernstein basis as a q-binomial distributions. Journal of Statistical Planning and Inference, 140, 2184-2190.
  • Yalcin, F. and Eryilmaz, S. (2014). q-Geometric and q-Binomial distributions of order k. Journal of Computational and Applied Mathematics, 271, 31-38.
  • Khan, M.S.A., Khalique. A. and Abouammoh, A.M. (1989). On estimating parameters in a discrete Weibull distribution. IEEE Transactions on Reliability, 38 (3), 348-350.
  • Phyo, I. (1973). Use of a chain binomial in epidemiology of caries. Journal of Dental Research 52, 750-752.
  • Krishna, H. and Pundir, P.S. (2009). Discrete Burr and discrete Pareto distributions. Statistical Methodology, 6, 177-188.
  • Nakagawa, T. and Osaki, S. (1975). The discrete Weibull distribution. IEEE Transactions on Reliability, 24, 300-301.
Yıl 2019, Cilt: 12 Sayı: 1, 13 - 24, 31.07.2019

Öz

Kaynakça

  • Sumita, U. and Shanthikumar J.G. (1985). A class of correlated cumulative shock models. Advances in Applied Probability, 17, 347-366.
  • Gut, A. (1990). Cumulative shock models. Advances in Applied Probability, 22, 504-507.
  • Mallor, F. and Omey E. (2001). Shocks, runs and random sums. Journal of Applied Probability, 38, 438-448.
  • Wang, G.J. and Zhang Y.L. (2005). A shock model with two-type failures and optimal replacement policy. International Journal of Systems Science, 36, 209-214.
  • Bai, J-M., Li, Z-H. and Kong, X-B. (2006). Generalized shock models based on a cluster point process. IEEE Transactions on Reliability, 55, 542-550.
  • Li, Z.H. and Kong, X.B. (2007). Life behavior of δ-shock model. Statistics and Probability Letters, 77, 577-587.
  • Li, Z.H. and Zhao, P. (2007). Reliability analysis on the δ-shock model of complex systems. IEEE Transactions on Reliabilit, 56, 340-348.
  • Eryilmaz, S. (2012). Generalized δ-shock model via runs. Statistics and Probability Letters, 82, 326-331.
  • Eryilmaz, S. (2013). On the lifetime behavior of a discrete time shock model. Journal of Computational and Applied Mathematics, 237, 384-388.
  • Charalambides, C.A. (2010). The q-Bernstein basis as a q-binomial distributions. Journal of Statistical Planning and Inference, 140, 2184-2190.
  • Yalcin, F. and Eryilmaz, S. (2014). q-Geometric and q-Binomial distributions of order k. Journal of Computational and Applied Mathematics, 271, 31-38.
  • Khan, M.S.A., Khalique. A. and Abouammoh, A.M. (1989). On estimating parameters in a discrete Weibull distribution. IEEE Transactions on Reliability, 38 (3), 348-350.
  • Phyo, I. (1973). Use of a chain binomial in epidemiology of caries. Journal of Dental Research 52, 750-752.
  • Krishna, H. and Pundir, P.S. (2009). Discrete Burr and discrete Pareto distributions. Statistical Methodology, 6, 177-188.
  • Nakagawa, T. and Osaki, S. (1975). The discrete Weibull distribution. IEEE Transactions on Reliability, 24, 300-301.
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makalesi
Yazarlar

Kadir Karakaya 0000-0002-0781-3587

Yunus Akdoğan 0000-0003-3520-7493

Fatih Şahin Bu kişi benim

İsmail Kınacı 0000-0002-0992-4133

Coşkun Kuş 0000-0002-7176-0176

Yayımlanma Tarihi 31 Temmuz 2019
Kabul Tarihi 7 Kasım 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 12 Sayı: 1

Kaynak Göster

APA Karakaya, K., Akdoğan, Y., Şahin, F., Kınacı, İ., vd. (2019). Discrete time shock model with varying success probability. Istatistik Journal of The Turkish Statistical Association, 12(1), 13-24.
AMA Karakaya K, Akdoğan Y, Şahin F, Kınacı İ, Kuş C. Discrete time shock model with varying success probability. IJTSA. Temmuz 2019;12(1):13-24.
Chicago Karakaya, Kadir, Yunus Akdoğan, Fatih Şahin, İsmail Kınacı, ve Coşkun Kuş. “Discrete Time Shock Model With Varying Success Probability”. Istatistik Journal of The Turkish Statistical Association 12, sy. 1 (Temmuz 2019): 13-24.
EndNote Karakaya K, Akdoğan Y, Şahin F, Kınacı İ, Kuş C (01 Temmuz 2019) Discrete time shock model with varying success probability. Istatistik Journal of The Turkish Statistical Association 12 1 13–24.
IEEE K. Karakaya, Y. Akdoğan, F. Şahin, İ. Kınacı, ve C. Kuş, “Discrete time shock model with varying success probability”, IJTSA, c. 12, sy. 1, ss. 13–24, 2019.
ISNAD Karakaya, Kadir vd. “Discrete Time Shock Model With Varying Success Probability”. Istatistik Journal of The Turkish Statistical Association 12/1 (Temmuz 2019), 13-24.
JAMA Karakaya K, Akdoğan Y, Şahin F, Kınacı İ, Kuş C. Discrete time shock model with varying success probability. IJTSA. 2019;12:13–24.
MLA Karakaya, Kadir vd. “Discrete Time Shock Model With Varying Success Probability”. Istatistik Journal of The Turkish Statistical Association, c. 12, sy. 1, 2019, ss. 13-24.
Vancouver Karakaya K, Akdoğan Y, Şahin F, Kınacı İ, Kuş C. Discrete time shock model with varying success probability. IJTSA. 2019;12(1):13-24.