Skip to main content
Log in

Some characterizations of continuous symmetric distributions based on extropy of record values

  • Regular Article
  • Published:
Statistical Papers Aims and scope Submit manuscript

Abstract

Using different extropies of k record values various characterizations are provided for continuous symmetric distributions. The results are in addition to the results of Ahmadi (Stat Pap 62:2603–2626, 2021). These include cumulative residual (past) extropy, generalised cumulative residual (past) extropy, also some common Kerridge inaccuracy measures. Using inaccuracy extropy measures, it is demonstrated that continuous symmetric distributions are characterised by an equality of information in upper and lower k-records. The applicability of the suggested test is then demonstrated using three real data sets by observing the p-values of our test.

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.

Similar content being viewed by others

References

  • Ahmadi J (2020) Characterization results for symmetric continuous distributions based on the properties of k-records and spacings. Stat Probab Lett 162:108764

  • Ahmadi J (2021) Characterization of continuous symmetric distributions using information measures of records. Stat Pap 62(6):2603–2626

    Article  MathSciNet  Google Scholar 

  • Ahmadi J, Fashandi M (2019) Characterization of symmetric distributions based on concomitants of ordered variables from FGM family of bivariate distributions. Filomat 13:4239–4250

    Article  MathSciNet  Google Scholar 

  • Ahmadi J, Fashandi M, Nagaraja HN (2020) Characterizations of symmetric distributions using equi-distributions and moment properties of functions of order statistics, Revista de la Real Academia de Ciencias Exactas. Físicas y Naturales. Serie A. Matemáticas 114(2):1–17

    Google Scholar 

  • Ahmed RR, Vveinhardt J, Štreimikienė D, Ghauri SP, Ashraf M (2018) Stock returns, volatility and mean reversion in emerging and developed financial markets. Technol Econ Dev Econ 24(3):1149–1177

    Article  Google Scholar 

  • Ahsanullah M (2004) Record values- theory and applications. University Press of America, Lanham

    Google Scholar 

  • Ahsanullah M (1995) Record statistics. Nova Science Publishers, New York

    Google Scholar 

  • Arnold BC, Balakrishnan N, Nagaraja HN (1998) Records, vol 768. Wiley, New York

    Book  Google Scholar 

  • Arnold C, Balakrishnan N, Nagaraja HN (2008) A first course in order statistics. SIAM

  • Balakrishnan N, Buono F, Longobardi M (2020) On weighted extropies. Commun Stat 51(18):6250–6267

    Article  MathSciNet  Google Scholar 

  • Bansal S, Gupta N (2022) Weighted extropies and past extropy of order statistics and k-record values. Commun Stat 51(17):6091–6108

    Article  MathSciNet  Google Scholar 

  • Bozin V, MiloŠević B, Nikitin YY, Obradović M (2020) New characterization based symmetry tests. Bull Malays Math Sci Soc 43:297–320

    Article  MathSciNet  Google Scholar 

  • Dai X, Niu C, Guo X (2018) Testing for central symmetry and inference of the unknown center. Comput Stat Data Anal 127:15–31

    Article  MathSciNet  Google Scholar 

  • Di Crescenzo A, Longobardi M (2009) On cumulative entropies and lifetime estimations. Methods and models in artificial and natural computation. A Homage to Professor Mira’s Scientific Legacy. IWINAC (2009) Lecture notes in computer science, vol 5601. Springer, Berlin

  • Dziubdziela W, Kopocinski B (1976) Limiting properties of the k-th record values. Appl Math 15(2):187–190

    MathSciNet  Google Scholar 

  • Fashandi M, Ahmadi J (2012) Characterizations of symmetric distributions based on Rényi entropy. Stat Probab Lett 82(4):798–804

    Article  Google Scholar 

  • Goel R, Taneja HC, Kumar V (2018) Kerridge measure of inaccuracy for record statistics. J Inf Optim Sci 39(5):1149–1161

    MathSciNet  Google Scholar 

  • Gupta N, Chaudhary SK (2022) On general weighted extropy of ranked set sampling, arXiv preprint arXiv:2207.02003

  • Hashempour M, Mohammadi M (2022) On dynamic cumulative past inaccuracy measure based on extropy. Commun Stat. https://doi.org/10.1080/03610926.2022.2098335

  • Jahanshahi SMA, Zarei H, Khammar AH (2020) On cumulative residual extropy. Probab Eng Inf Sci 34(4):605–625

    Article  MathSciNet  Google Scholar 

  • Johnson NL, Kotz S, Balakrishnan N (1995) Continuous univariate distribution, vol 2, 2nd edn. Wiley, New York

  • Jose J, Sathar EIA (2022) Symmetry being tested through simultaneous application of upper and lower k-records in extropy. J Stat Comput Simul 92(4):830–846

    Article  MathSciNet  Google Scholar 

  • Kayal S (2016) On generalized cumulative entropies. Probab Eng Inf Sci 30(4):640–662

    Article  MathSciNet  Google Scholar 

  • Kerridge DF (1961) Inaccuracy and inference. J R Stat Soc B 23(1):184–94

    MathSciNet  Google Scholar 

  • Krishnan AS, Sunoj SM, Sankaran PG (2020) Some reliability properties of extropy and its related measures using quantile function. Statistica (Bologna) 80(4):413–437

    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  Google Scholar 

  • Lad F, Sanfilippo G, Agró G (2015) Extropy: complementary dual of entropy. Stat Sci 30(1):40–58

    Article  MathSciNet  Google Scholar 

  • Lawless JF (2011) Statistical models and methods for lifetime data, vol 362. Wiley, Hoboken

    Google Scholar 

  • Mahdizadeh M, Zamanzade E (2020) Estimation of a symmetric distribution function in multistage ranked set sampling. Stat Pap 61(2):851–867

    Article  MathSciNet  Google Scholar 

  • Molloy TL, Ford JJ (2013) Consistent HMM parameter estimation using Kerridge inaccuracy rates. In: 2013 Australian control conference, pp 73–78

  • Montgomery DC, Peck EA, Vining GG (2021) Introduction to linear regression analysis, 6th edn. Wiley, New York

    Google Scholar 

  • Nath P (1968) Inaccuracy and coding theory. Metrika 13:123–135

    Article  MathSciNet  Google Scholar 

  • Noughabi HA (2015) Tests of symmetry based on the sample entropy of order statistics and power comparison. Sankhya B 77:240–255

  • Noughabi HA, Jarrahiferiz J (2019) On the estimation of extropy. J Nonparametric Stat 31(1):88–99

    Article  MathSciNet  Google Scholar 

  • Park S (1999) A goodness-of-fit test for normality based on the sample entropy of order statistics. Stat Prob Lett 44(4):359–363

  • Park S (2021) Weighted general cumulative entropy and a goodness of fit for normality. Commun Stat 50(20):4733–4742

    Article  MathSciNet  Google Scholar 

  • Psarrakos G, Navarro J (2013) Generalized cumulative residual entropy and record values. Metrika 27:623–640

    Article  MathSciNet  Google Scholar 

  • Qiu G (2017) The extropy of order statistics and record values. Stat Probab Lett 120:52–60

    Article  MathSciNet  Google Scholar 

  • Qiu G, Jia K (2018) Extropy estimators with applications in testing uniformity. J Nonparametric Stat 30(1):182–96

    Article  MathSciNet  Google Scholar 

  • Qiu G, Raqab MZ (2022) On weighted extropy of ranked set sampling and its comparison with simple random sampling counterpart. Commun Stat. https://doi.org/10.1080/03610926.2022.2082478

    Article  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  Google Scholar 

  • Raqab MZ, Qiu G (2019) On extropy properties of ranked set sampling. Statistics 53(1):210–226

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  • Tahmasebi S, Daneshi S (2018) Measures of inaccuracy in record values. Commun Stat 47(24):6002–6018

    Article  MathSciNet  Google Scholar 

  • Ushakov NG (2011) One characterization of symmetry. Stat Probab Lett 81(5):614–617

    Article  MathSciNet  Google Scholar 

  • Vasicek O (1976) A test for normality based on sample entropy. J R Stat Soc B 38:54–59

    MathSciNet  Google Scholar 

  • Xiong P, Zhuang W, Qiu G (2021) Testing symmetry based on the extropy of record values. J Nonparametric Stat 33(1):134–155

    Article  MathSciNet  Google Scholar 

  • Zardasht V, Parsi S, Mousazadeh M (2015) On empirical cumulative residual entropy and a goodness of fit test for exponentiality. Stat Pap 56(3):677–88

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors are thankful to the reviewers for their insightful comments, which significantly improved this manuscript.

Funding

Santosh Kumar Chaudhary would like to thank the Council Of Scientific And Industrial Research (CSIR), Government of India (File Number 09/0081(14002)/2022- EMR-I) for financial assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Santosh Kumar Chaudhary.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gupta, N., Chaudhary, S.K. Some characterizations of continuous symmetric distributions based on extropy of record values. Stat Papers 65, 291–308 (2024). https://doi.org/10.1007/s00362-022-01392-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00362-022-01392-y

Keywords

Mathematics Subject Classification

Navigation