DOI QR코드

DOI QR Code

RELIABILITY ANALYSIS FOR THE TWO-PARAMETER PARETO DISTRIBUTION UNDER RECORD VALUES

  • Wang, Liang (Department of Applied Mathematics, Northwestern Polytechnical University) ;
  • Shi, Yimin (Department of Applied Mathematics, Northwestern Polytechnical University) ;
  • Chang, Ping (College of Medicine, Xian Jiaotong University)
  • Received : 2011.01.20
  • Accepted : 2011.04.04
  • Published : 2011.09.30

Abstract

In this paper the estimation of the parameters as well as survival and hazard functions are presented for the two-parameter Pareto distribution by using Bayesian and non-Bayesian approaches under upper record values. Maximum likelihood estimation (MLE) and interval estimation are derived for the parameters. Bayes estimators of reliability performances are obtained under symmetric (Squared error) and asymmetric (Linex and general entropy (GE)) losses, when two parameters have discrete and continuous priors, respectively. Finally, two numerical examples with real data set and simulated data, are presented to illustrate the proposed method. An algorithm is introduced to generate records data, then a simulation study is performed and different estimates results are compared.

Keywords

References

  1. M. Ahsanullah, Introduction to record statistics, New York, NOVA Science, Huntington, 1995.
  2. F. Akdeniz, New biased estimators under the Linex loss function, Statistical Papers 45(2004), 175-190. https://doi.org/10.1007/BF02777222
  3. E.K. Al-Hussaini, A.A. Ahmed, On Bayesian interval prediction of future records, Test 12(2003), 79-99. https://doi.org/10.1007/BF02595812
  4. B.C. Arnold, N. Balakrishnan, H.N., Nagaraja, Records, New York, John Wiley & Sons, 1998.
  5. B.C. Arnold, S.J. Press, Bayesian estimation and prediction for pareto data, Journal of the American Statistical Association 84(1989), 1079-1084. https://doi.org/10.1080/01621459.1989.10478875
  6. J.O. Berger, Statistical Decision Theory and Bayesian Analysis (2nd edition), New York, Springer, 1985.
  7. K.N. Chandler, The distribution and frequency of record values, Journal of the Royal Sta- tistical Society, Series B 14(1952), 220-228.
  8. P.S. Dayna, V.H. Humberto, B.C., Arnold, A goodness of ¯t test for the Pareto distribution in the presence of Type II censoring based on the cumulative hazard function, Computa- tional Statistics & Data Analysis 54(2010), 833-842. https://doi.org/10.1016/j.csda.2009.11.004
  9. Z. Hoque, S. Khan, J. Wesolowski, Performance of preliminary test estimator under linex loss function, Communications in Stattistics: Theory and Methods 38(2)(2009), 252-261. https://doi.org/10.1080/03610920802192471
  10. N.L. Johnson, S. Kota, N. Balakrishnan, Continuous univariate distributions, Vol1, 2nd ed. New York, John Wiley & Sons, 1994.
  11. C. Kluppelberg, P. Schwere, Records in time series: an investigation to global warming, Berichte Zur Stachastik und Verwandten Gebieten, Johannes Gutenberg-Universitt, Mainz, Tech. Rep. 95-4, June 1995.
  12. T.M. Mohamed, Z.R. Mohamed, Bayesian prediction of temperature records using the Pareto model, Environmetrics 15(2004), 701-710. https://doi.org/10.1002/env.661
  13. V.B. Nevzorov, Record: Mathematical Theory. Translation of Mathematical Monographs, American Mathematical Society, vol. 194, Providence, RI (2001).
  14. V. Pareto, Cours d'Economie Politique, Rouge et Cie, Paris (1897).
  15. A. Parsian, S.N.U.A. Kirmani, Estimation under Linex loss function. In Handbook of Applied Econometrics and Statistical Inference. Eds. Aman Ullah, Alan T. K. Wan, and Anoop Chaturvedi. Marcel Dekker, Inc. (2002), 53-76
  16. A.A. Soliman, Bayes prediction in a pareto lifetime models with random sample size, Journal of the Royal Statistical Society, Series D 49(1)(2000), 51-62.
  17. A.A. Soliman, Estimation of parameters of life from progressively censored data using Burr-XII Model. IEEE Transactions on Reliability 54(1)(2005), 34-42. https://doi.org/10.1109/TR.2004.842528
  18. A.A. Soliman, Estimations for pareto model using general progressive censored data and asymmetric loss, Communications in Stattistics: Theory and Methods 37(2008), 1353-1370. https://doi.org/10.1080/03610920701825957
  19. R.C. Tiwari, Y. Yang, J.N. Zalkikar, Bayes estimation for Pareto failure model using Gibbs sampling, IEEE Transactions on Reliability 45(1996), 471-476. https://doi.org/10.1109/24.537018
  20. H.R. Varian, A Bayesian approach to real estate assessment, In Studies Bayesian Econo- metrics and Statistics in Honor of Leonard J. Savage. Fienberg, S.E. and Zellner, A., Eds. North Holland: Amsterdam (1975), 195-208.
  21. J.W. Wu, W.C. Lee, S.C. Chen, Computational comparison of prediction future lifetime of electronic components with Pareto distribution based on multiply type II censored samples Applied Mathematics and Computation, 184(2007), 374-406. https://doi.org/10.1016/j.amc.2006.05.200
  22. A. Zellner, Bayesian estimation and prediction using asymmetric loss functions, Journal of the American Statistical Association 81(1986), 446-451. https://doi.org/10.1080/01621459.1986.10478289