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On Kullback–Leibler information of order statistics in terms of the relative risk

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Abstract

The representation of the entropy in terms of the hazard function and its extensions have been studied by many authors including Teitler et al. (IEEE Trans Reliab 35:391–395, 1986). In this paper, we consider a representation of the Kullback–Leibler information of the first \(r\) order statistics in terms of the relative risk (Park and Shin in Statistics, 2012), the ratio of hazard functions, and extend it to the progressively Type II censored data. Then we study the change in Kullback–Leibler information of the first \(r\) order statistics according to \(r\) and discuss its relation with Fisher information in order statistics.

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References

  • Abo-Eleneen ZA (2011) The entropy of progressively censored samples. Entropy 13:437–449

    Article  MATH  Google Scholar 

  • Abbasnejad M, Arghami NR (2011) Renyi entropy properties of order statistics. Commun Stat Theory Methods 40:40–52

    Article  MATH  MathSciNet  Google Scholar 

  • Balakrishnan N, Aggarawala R (2000) Progressive censoring: theory, methods, and applications. Birkhauser, Boston, MA

    Book  Google Scholar 

  • Balakrishnan N, Rad AH, Arghami NR (2007) Testing exponentiality based on Kullback–Leibler information with progressively Type-II censored data. IEEE Trans Relib 56:301–307

    Article  Google Scholar 

  • Cole RH (1951) Relations between moments of order statistics. Ann Math Stat 22:308–310

    Article  MATH  Google Scholar 

  • David HA, Nagaraja HN (2003) Order statistics, 3rd edn. Wiley, New York

    Book  MATH  Google Scholar 

  • Ebrahimi N, Soofi ES, Zahedi H (2004) Information properties of order statistics and spacings. IEEE Trans Inf Theory 50:177–183

    Article  MathSciNet  Google Scholar 

  • Efron B, Johnstone I (1990) Fisher information in terms of the hazard rate. Ann Stat 18:38–62

    Article  MATH  MathSciNet  Google Scholar 

  • Kullback S (1959) Information theory and statistics. Wiley, NY

    MATH  Google Scholar 

  • Park S (1995) The entropy of consecutive order statistics. IEEE Trans Inf Theory 41:2003–2007

    Article  MATH  Google Scholar 

  • Park S (1996) Fisher information in order statistics. J Am Stat Assoc 91:385–390

    Article  MATH  Google Scholar 

  • Park S (2003) On the asymptotic Fisher information in order statistics. Metrika 57:71–80

    Article  MathSciNet  Google Scholar 

  • Park S (2005) Testing exponentiality based on Kullback–Leiber information with the Type II cnesored data. IEEE Trans Reliab 54:22–26

    Article  Google Scholar 

  • Park S, Shin M (2013) Kullback–Leibler information of Type I censored variable and its application. Statistics (to appear)

  • Rad AH, Yousefzadeh F, Balakrishnan N (2011) Goodness-of-fit test based on Kullback–Leibler information for progressively Type-II censored data. IEEE Trans Reliab 60:570–579

    Article  Google Scholar 

  • Teitler S, Rajagopal AK, Ngai KL (1986) Maximum entropy and reliability distributions. IEEE Trans Reliab 35:391–395

    Article  MATH  Google Scholar 

  • Wong KM, Chen S (1990) The entropy of ordered sequences and order statistics. IEEE Trans Inf Theory 36:276–284

    Article  MATH  MathSciNet  Google Scholar 

  • Zahedi H, Shakil M (2006) Properties of entropies of record values in reliability and life testing context. Commun Stat Theory Methods 35:997–1010

    Article  MATH  MathSciNet  Google Scholar 

  • Zheng G, Park S (2004) On the Fisher information in multiply censored and progressively censored data. Commun Stat Theory Methods 33:1821–1835

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

The author is grateful to anonymous referees and an associate editor for making some useful comments on an earlier version of this manuscript. This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIP) (No. 2011-0029104) and the Korea government (MEST) (No. 2012-004905).

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Correspondence to Sangun Park.

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Park, S. On Kullback–Leibler information of order statistics in terms of the relative risk. Metrika 77, 609–616 (2014). https://doi.org/10.1007/s00184-013-0455-7

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