Skip to main content
Log in

Relation between Relative Hazard Rates and Residual Divergence with some Applications to Reliability Analysis

  • Published:
Sankhya A Aims and scope Submit manuscript

Abstract

In the present work we discuss some new results and applications of the Kullback-Leibler residual divergence. It is shown that the residual divergence function is uniquely determined by the relative hazard rates of the constituent distributions. Some applications of this result in the series and parallel system reliability evaluations and in certain replacement policies are also suggested.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  • Asadi, M., Ebrahimi, N., Hamedani, G. G. and Soofi, E. S (2005a). Minimum dynamic discrimination information models. Journal of Applied Probability42, 3, 643–660.

    Article  MATH  Google Scholar 

  • Asadi, M., Ebrahimi, N. and Soofi, E. S (2005b). Dynamic generalized information measures. Statistics & Probability Letters 71, 1, 85–98.

    Article  MATH  Google Scholar 

  • Dabrowska, D. M. and Doksum, K. A (1988). Estimation and testing in a two-sample generalized odds-rate model. Journal of the American Statistical Association83, 403, 744–749.

    Article  MATH  Google Scholar 

  • Di Crescenzo, A. and Longobardi, M. (2004). A measure of discrimination between past lifetime distributions. Statistics & Probability Letters 67, 2, 173–182.

    Article  MATH  Google Scholar 

  • Dileep Kumar, M., Sankaran, P. G. and Nair, N.U (2019). Proportional odds model: A quantile approach. Journal of Applied Statistics (to appear).

  • Ebrahimi, N. (2001). Testing for uniformity of the residual life time based on dynamic Kullback-Leibler information. Annals of the Institute of Statistical Mathematics 53, 2, 325–337.

    Article  MATH  Google Scholar 

  • Ebrahimi, N. and Kirmani, S. N. U. A (1996). A measure of discrimination between two residual life-time distributions and its applications. Annals of the Institute of Statistical Mathematics 48, 2, 257–265.

    Article  MATH  Google Scholar 

  • Ebrahimi, N. and Kirmani, S. N. U. A (1996). A characterization of the proportional hazards model through a measure of discrimination between two residual life distributions. Biometrika 83, 1, 233–235.

    Article  MATH  Google Scholar 

  • Gupta, R. C. (2007). Role of equilibrium distribution in reliability studies. Probability in the Engineering and Informational Sciences 21, 2, 315–334.

    Article  MATH  Google Scholar 

  • Kayal, S. and Moharana, R (2016). Some results on a doubly truncated generalized discrimination measure. Applications of Mathematics 61, 5, 585–605.

    Article  MATH  Google Scholar 

  • Kirmani, S. N. U. A. and Gupta, R. C (2001). On the proportional odds model in survival analysis. Annals of the Institute of Statistical Mathematics 53, 2, 203–216.

    Article  MATH  Google Scholar 

  • Kapodistria, S. and Psarrakos, G (2012). Some extensions of the residual lifetime and its connection to the cumulative residual entropy. Probability in the Engineering and Informational Sciences 26, 1, 129–146.

    Article  MATH  Google Scholar 

  • Li, X. and Li, Z (2008). A mixture model of proportional reversed hazard rate. Communications in Statistics-Theory and Methods 37, 18, 2953–2963.

    Article  MATH  Google Scholar 

  • Maya, S. S. and Sunoj, S. M (2008). Some dynamic generalized information measures in the context of weighted models. Statistica 68, 1, 71–84.

    MATH  Google Scholar 

  • Midhu, N. N., Sankaran, P. G. and Nair, N. U (2013). A class of distributions with the linear mean residual quantile function and it’s generalizations. Statistical Methodology 15, 1–24.

    Article  MATH  Google Scholar 

  • Misagh, F. and Yari, G (2012). Interval entropy and informative distance. Entropy 14, 3, 480–490.

    Article  MATH  Google Scholar 

  • Moharana, R. and Kayal, S (2019). On weighted Kullback-Leibler divergence for doubly truncated random variables. REVSTAT–Statistical Journal 17, 3, 297–320.

    MATH  Google Scholar 

  • Nanda, A. K. and Das, S (2011). Dynamic proportional hazards rate and reversed hazards rate models. Journal of Statistical Planning and Inference 141, 6, 2108–2119.

    Article  MATH  Google Scholar 

  • Nair, N. U., Sankaran, P. G. and Balakrishnan, N. (2013). Quantile-based Reliability Analysis. Basel, Birkhäuser.

    Book  MATH  Google Scholar 

  • Rezaei, M., Gholizadeh, B. and Izadkhah, S (2015). On relative reversed hazard rate order. Communications in Statistics-Theory and Methods 44, 2, 300–308.

    Article  MATH  Google Scholar 

  • Sankaran, P. G., Sunoj, S. M. and Nair, N. U (2016). Kullback–Leibler divergence: A quantile approach. Statistics & Probability Letters 111, 72–79.

    Article  MATH  Google Scholar 

  • Sunoj, S. M. and Linu, M. N (2012). On bounds of some dynamic information divergence measures. Statistica 72, 1, 23–36.

    MATH  Google Scholar 

  • Wei, X. (1992). Relative mean residual life: theory and related topics. Microelectronics Reliability 32, 9, 1319–1326.

    Article  Google Scholar 

  • Yari, G., Mirhabibi, A. and Saghafi, A (2013). Estimation of the Weibull parameters by Kullback-Leibler divergence of Survival functions. Applied Mathematics and Information Sciences 7, 1, 187–192.

    Article  Google Scholar 

  • Zardasht, V. (2019). Results on relative mean residual Life and relative cumulative residual entropy. Statistics, Optimization & Information Computing 7, 1, 150–159.

    Article  Google Scholar 

Download references

Acknowledgments

We thank the associate editor and the reviewer for their comments on the original draft. The second and third authors wish to thank the University Grants Commission, Government of India for the financial assistance under the Special Assistance Program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. Unnikrishnan Nair.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nair, N.U., Sunoj, S.M. & G., R. Relation between Relative Hazard Rates and Residual Divergence with some Applications to Reliability Analysis. Sankhya A 85, 784–802 (2023). https://doi.org/10.1007/s13171-021-00277-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13171-021-00277-w

Keywords

AMS (2000) subject classification

Navigation