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2022 | 23 | 3 | 95-112

Article title

New polynomial exponential distribution: properties and applications

Content

Title variants

Languages of publication

Abstracts

EN
The study describes the general concept of the XLindley distribution. Forms of density and hazard rate functions are investigated. Moreover, precise formulations for several numerical properties of distributions are derived. Extreme order statistics are established using stochastic ordering, the moment method, the maximum likelihood estimation, entropies and the limiting distribution. We demonstrate the new family's adaptability by applying it to a variety of real-world datasets.

Year

Volume

23

Issue

3

Pages

95-112

Physical description

Dates

published
2022

Contributors

  • Department of Mathematics, Faculty of Exact Sciences, University the Brothers Mentouri Constantine 1, 25019, Algeria
  • Laps laboratory, Badji-Mokhtar University, Box 12, Annaba, 23000, Algeria
author
  • Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Kingdom of Saudi Arabia
author
  • Laps laboratory, Badji-Mokhtar University, Box 12, Annaba, 23000, Algeria

References

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  • Asgharzadeh, A., Hassan, S. and Bakouch, L. E., (2013). Pareto Poisson-Lindley distribution and its application. Journal of Applied Statistics, Vol. 40, No. 8, pp. 1–18.
  • Bashir, S., Rasul, M., (2015). Some properties of the weighted Lindley distribution. International Journal of Economic and Business Review, 3 (8), pp. 11–17.
  • Beghriche, A. F., Zeghdoudi, H., (2019). A Size Biased Gamma Lindley Distribution. Thailand Statistician, Vol.17, No 2, pp. 179–189.
  • Fisher, R. A., (1934). The effects of methods of ascertainment upon the estimation of frequencies. Ann. Eugenics, , 6, pp. 13–25.
  • Ghitany, M. E, Atieh, B and Nadarajah, S., (2008b). Lindley distribution and its applications. Mathematics and Computers in Simulation, 78, pp. 493–506.
  • Glaser, R. E., (1980). Bathtub and related failure rate characterizations. J. Amer.Statist. Assoc., 75, pp. 667–672.
  • Gupta R. D., Kundu D., (1999). Generalized Exponential distribution. Australian and New Zealand Journal of Statistics, Vol. 41, No. 2, pp.173–188.
  • Laurens de Haan, Ferreira A., (2006). Extreme value theory: An introduction. Springer.
  • Lawless, J. F., (2003). Statistical models and methods for lifetime data. Wiley, New Y [16] Sen, Subhradev; Maiti, Sudhansu S.; and Chandra, N., (2016). The Xgamma Distribution: Statistical Properties and Application. Journal of Modern Applied Statistical Methods, Vol. 15, Iss. 1, Article 38.
  • Lindley, D. V., (1958). Fiducial distributions and Bayes' theorem. Journal of the Royal Society, series B, 20, pp. 102–107.
  • Patil, G. P., Rao, C. R., (1977). Weighted distribution survey of their applications, In P. R. Krishnaiah, (E ds.), Applications of statistics, pp. 383–405, Amsterdam, North Holland.
  • Patil, G. P., Rao, C. R., (1978). Weighted distributions and size biased sampling with applications to wild life populations and human families. Biometrics, 34, pp. 179–189.
  • Sen Subhradev, Maiti Sudhansu S. and Chandra, N., (2016). The xgamma Distribution: Statistical Properties and Application. Journal of Modern Applied Statistical Methods, Vol. 15, Iss. 1, Article 38. DOI: 10.22237/jmasm/1462077420.
  • Zeghdoudi, H., Bouchahed, L., (2018). A new and unified approach in generalizing the Lindley’s distribution with applications. Statistics in Transition new series, Vol. 19, No. 1, pp. 61–74,
  • Zeghdoudi, H., Messadia, M., (2018). Zeghdoudi Distribution and its Applications. International Journal of Computing Science and Mathematics, Vol. 9, No.1, pp. 58–65.
  • Zeghdoudi, H.,. Nedjar, S., (2016c). A pseudo Lindley distribution and its application. Afr. Stat., Vol. 11, No. 1, pp. 923–932.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2108330

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_stattrans-2022-0032
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