Dergiler / İstatistik. Türk İstatistik Derneği Dergisi / 2017 / Cilt: 10 - Sayı: 2

PREDICTING RESIDUAL LIFETIMES OF DYNAMIC r--out--of--n SYSTEMS

Sayfa
45–51
Yayın Tarihi
2022-10-19
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Illustrative examples are also given.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:An important reliability index is the residual lifetime (RL).
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Temel Bulgular & Veri:The RL may be used for designingengineering systems, maintenance policy programs as well as for comparison and prediction of systemlifetimes.
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Sonuç & Katkı:Illustrative examples are also given.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

An important reliability index is the residual lifetime (RL). The RL may be used for designingengineering systems, maintenance policy programs as well as for comparison and prediction of systemlifetimes. In this paper, dynamic r-out-of-n systems are considered as an subclass of engineering coherentsystems. Given the first component failure times, the RL of the system is predicted and the mean residual lifetime (MRL) is evaluated. Illustrative examples are also given.

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Bu Makaleye Atıf Yap

BARATNİA, M., DOOSTPARAST, M. (2022). PREDICTING RESIDUAL LIFETIMES OF DYNAMIC r--out--of--n SYSTEMS. İstatistik. Türk İstatistik Derneği Dergisi, Cilt: 10 - Sayı: 2, 45–51. https://ajindex.com/articles/555716

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Kaynakça (12)

  1. Alain, K. (1972). Unimodality of the distribution of an order statistic. The Annals of Mathematical Statistics, 43, 2041--2044
  2. Aliev, RA. (2003). comment on 'Unimodality of the distribution of record statistics'. Statistics and Probability Letters, 64, 39--40
  3. Alimohammadi, M. and Alamatsaz, M. H. (2011). Some new results on unimodality of generalized order statistics and their spacings. Statistics and Probability Letters, 81(11), 1677-1682
  4. An, M.Y. (1998). Logconcavity versus logconvexity: complete characterization. Journal of Economic Theory, 80, 350--369 [5] Basak, P. and Basak, I. (2002). Unimodality of the distribution of record statistics. Statistics and Probability Letters, 56, 395--398
  5. Chen, H., Xie, H. and Hu, T. (2009). Log-concavity of generalized order statistics. Statistics and Probability Letters, 79, 396--399
  6. Cramer, E. and Kamps, U. (2003). Marginal distributions of sequential and generalized order statistics. Metrika, 58, 293--310
  7. Cramer, E. (2004). Logconcavity and unimodality of progressively censored order statistics. Statistics and Probability Letters, 68, 83--90
  8. Cramer, E., Kamps, U. and Rychlik, T. (2004). Unimodality of uniform generalized order statistics, with applications to mean bounds. Annals of the Institute of Statistical Mathematics, 56, 183--192
  9. Dharmadhikari, S. and Joag--Dev, K. (1988). Unimodality, Convezity, and Applications. Academic Press, Boston
  10. Huang, J.S. and Ghosh, M. (1982). note on strong unimodality of order statistics. Journal of the American Statistical Association, 77, 929--930
  11. Kamps, U. (1995). concept of generalized order statistics. Journal of Statistical Planning and Inference, 48, 1--23
  12. Kamps, U. and Cramer, E. (2001). On distributions of generalized order statistics. Statistics, 35, 269-- 280.