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Cumulative Residual Entropy of Linear Consecutive $$k$$ k -out-of- $$n$$ n :G Systems and their Applications

Author

Listed:
  • M. Kayid

    (King Saud University)

  • N. Balakrishnan

    (McMaster University)

Abstract

This study provides a detailed investigation into the properties of the cumulative residual entropy of $$k$$ k -out-of-n:G systems with consecutive structure. We first derive a useful formula to compute the cumulative residual entropy of the lifetime of a consecutive $$k$$ k -out-of- $$n:\text{G}$$ n : G system. Based on this formula, we then investigate the cumulative residual entropy of $$k$$ k -out-of-n:G systems with consecutive structure in terms of well-known stochastic orders. We also derive some useful bounds. For practical applications, we introduce two nonparametric estimators of the cumulative residual entropy of consecutive $$k$$ k -out-of- $$n$$ n : G systems. The efficiency and performance of these estimators are demonstrated through the use of simulated datasets, and in addition through an image processing application.

Suggested Citation

  • M. Kayid & N. Balakrishnan, 2025. "Cumulative Residual Entropy of Linear Consecutive $$k$$ k -out-of- $$n$$ n :G Systems and their Applications," Methodology and Computing in Applied Probability, Springer, vol. 27(2), pages 1-22, June.
  • Handle: RePEc:spr:metcap:v:27:y:2025:i:2:d:10.1007_s11009-025-10176-4
    DOI: 10.1007/s11009-025-10176-4
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    References listed on IDEAS

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