Skip to main content
Log in

A residual inaccuracy measure based on the relevation transform

  • Published:
Metrika Aims and scope Submit manuscript

Abstract

Inaccuracy and information measures based on the cumulative residual entropy are useful in various fields, and are attracting increasing attention in Probability Theory and Statistics. In this paper, we introduce and study an inaccuracy measure concerning the relevation transform of two nonnegative continuous random variables. We investigate various distributional properties and characterization results that are based on the mean residual lifetime and involve the generalized Pareto distribution. A connection with the proportional hazards model is also provided. We obtain comparison results involving the proposed inaccuracy measure and some existing inaccuracy measures. Some illustrative examples are finally given.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Asadi M, Zohrevand Y (2007) On the dynamic cumulative residual entropy. J Stat Plan Inference 137:1931–1941

    Article  MathSciNet  MATH  Google Scholar 

  • Balakrishnan N, Kamps U, Kateri M (2009) Minimal repair under a step-stress test. Stat Probab Lett 79:1548–1558

    Article  MathSciNet  MATH  Google Scholar 

  • Baxter LA (1982) Reliability applications of the relevation transform. Naval Res Logist Q 29:323–330

    Article  MathSciNet  MATH  Google Scholar 

  • Burkschat M, Navarro J (2011) Aging properties of sequential order statistics. Probab Eng Inf Sci 25:449–467

    Article  MathSciNet  MATH  Google Scholar 

  • Burkschat M, Navarro J (2014) Asymptotic behavior of the hazard rate in systems based on sequential order statistics. Metrika 77:965–994

    Article  MathSciNet  MATH  Google Scholar 

  • Burkschat M, Navarro J (2017) Stochastic comparisons of systems based on sequential order statistics via properties of distorted distributions. Probab Eng Inf Sci. https://doi.org/10.1017/S0269964817000018

  • Cox DR (1959) The analysis of exponentially distributed lifetimes with two types of failure. J R Stat Soc B 21:411–421

    MATH  Google Scholar 

  • Cramer E, Kamps U (2003) Marginal distributions of sequential and generalized order statistics. Metrika 58:293–310

    Article  MathSciNet  MATH  Google Scholar 

  • Ebrahimi N (1996) How to measure uncertainty about residual life time. Sankhyã Indian J Stat Ser A 58:48–57

    MATH  Google Scholar 

  • Guess F, Proschan F (1988) Mean residual life: theory and applications. In: Krishnaiah PR, Rao CR (eds) Handbook of statistics, vol 7. North-Holland, New York, pp 215–224

    Google Scholar 

  • Gupta RC, Keating JP (1986) Relations for reliability measures under length biased sampling. Scand J Stat 13:49–56

    MathSciNet  MATH  Google Scholar 

  • Gupta RC, Kirmani SNUA (1988) Closure and monotonicity properties of nonhomogeneous Poisson processes and record values. Probab Eng Inf Sci 2:475–484

    Article  MATH  Google Scholar 

  • Hall WJ, Wellner JA (1981) Mean residual life. In: Csorgo M, Dawson DA, Rao JNK, Saleh AKMdE (eds) Statistics and related topics. North-Holland, Amsterdam, pp 169–184

    Google Scholar 

  • Hashemi M, Asadi M (2007) Some characterization results on generalized Pareto distribution based on progressive type-II right censoring. J Iran Stat Soc 6:99–110

    MathSciNet  Google Scholar 

  • Kapodistria S, Psarrakos G (2012) Some extensions of the residual lifetime and its connection to the cumulative residual entropy. Probab Eng Inf Sci 26:129–146

    Article  MathSciNet  MATH  Google Scholar 

  • Kerridge DF (1961) Inaccuracy and inference. J R Stat Soc B 23:184–194

    MathSciNet  MATH  Google Scholar 

  • Kayal S (2016) On generalized cumulative entropies. Probab Eng Inf Sci 30:640–662

    Article  MathSciNet  MATH  Google Scholar 

  • Krakowski M (1973) The relevation transform and a generalization of the gamma distribution function. Revue Francaise d’ Automatique, Informatigue et Recherche Operationnelle 7(V2):107–120

    Article  MathSciNet  MATH  Google Scholar 

  • Kumar V, Taneja HC (2015) Dynamic cumulative residual and past inaccuracy measures. J Stat Theory Appl 14:399–412

    Article  MathSciNet  Google Scholar 

  • Kundu C, Di Crescenzo A, Longobardi M (2016) On cumulative residual (past) inaccuracy for truncated random variables. Metrika 79:335–356

    Article  MathSciNet  MATH  Google Scholar 

  • Lau KS, Prakasa Rao BLS (1990) Characterization of the exponential distribution by the relevation transform. J Appl Probab 27:726–729

    Article  MathSciNet  MATH  Google Scholar 

  • Longobardi M (2014) Cumulative measures of information and stochastic orders. Ricerche Mat 63:209–223

    Article  MathSciNet  MATH  Google Scholar 

  • Müller A, Stoyan D (2002) Comparison methods for stochastic models and risks. Wiley, New York

    MATH  Google Scholar 

  • Navarro J, del Aguila Y, Asadi M (2010) Some new results on the cumulative residual entropy. J Stat Plan Inference 140:310–322

    Article  MathSciNet  MATH  Google Scholar 

  • Navarro J, del Aguila Y, Ruiz JM (2001) Characterizations through reliability measures from weighted distributions. Stat Pap 42:395–402

    Article  MathSciNet  MATH  Google Scholar 

  • Psarrakos G, Navarro J (2013) Generalized cumulative residual entropy and record values. Metrika 76:623–640

    Article  MathSciNet  MATH  Google Scholar 

  • Rao M (2005) More or a new concept of entropy and information. J Theor Probab 18:967–981

    Article  MathSciNet  MATH  Google Scholar 

  • Rao M, Chen Y, Vemuri BC, Wang F (2004) Cumulative residual entropy: a new measure of information. IEEE Trans Inf Theory 50:1220–1228

    Article  MathSciNet  MATH  Google Scholar 

  • Shaked M, Shanthikumar JG (2007) Stochastic orders and their applications. Academic Press, San Diego

    MATH  Google Scholar 

  • Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423

    Article  MathSciNet  MATH  Google Scholar 

  • Shanthikumar JG, Baxter LA (1985) Closure properties of the relevation transform. Naval Res Logist Q 32:185–189

    Article  MathSciNet  MATH  Google Scholar 

  • Sordo MA, Castaño-Martnez A, Pigueiras G (2016) A family of premium principles based on mixtures of TVaRs. Insur Math Econ 70:397–405

    Article  MathSciNet  MATH  Google Scholar 

  • Sordo MA, Psarrakos G (2017) Stochastic comparisons of inter-failure times under a common replacement policy. J Appl Probab 54:134–145

    Article  MathSciNet  Google Scholar 

  • Taneja HC, Kumar V (2012) On dynamic cumulative residual inaccuracy measure. In: Proceedings of the world congress on engineering (WCE), July 4–6, London, UK

  • Taneja HC, Kumar V, Srivastava R (2009) A dynamic measure of inaccuracy between two residual lifetime distributions. Int Math Forum 25:1213–1220

    MathSciNet  MATH  Google Scholar 

  • Toomaj S, Sunoj S, Navarro J (2017) Some properties of the cumulative residual entropy of coherent and mixed systems. J Appl Probab 54:379–393

    Article  MathSciNet  Google Scholar 

  • Torrado N, Lillo RL, Wiper MP (2012) Sequential order statistics: ageing and stochastic orderings. Methodol Comput Appl Probab 14:579–596

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

We thank the anonymous referees for their helpful suggestions which enhanced the presentation of this paper. This research has been partially supported by the GNCS of INdAM.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Georgios Psarrakos.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Psarrakos, G., Di Crescenzo, A. A residual inaccuracy measure based on the relevation transform. Metrika 81, 37–59 (2018). https://doi.org/10.1007/s00184-017-0633-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00184-017-0633-0

Keywords

Mathematics Subject Classification

Navigation