On Bayesian Analysis of Failure Rate under Topp Leone Distribution using Complete and Censored Samples
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
On Bayesian Analysis of Failure Rate under Topp Leone Distribution using Complete and Censored Samples

Authors: N. Feroze, M. Aslam

Abstract:

The article is concerned with analysis of failure rate (shape parameter) under the Topp Leone distribution using a Bayesian framework. Different loss functions and a couple of noninformative priors have been assumed for posterior estimation. The posterior predictive distributions have also been derived. A simulation study has been carried to compare the performance of different estimators. A real life example has been used to illustrate the applicability of the results obtained. The findings of the study suggest  that the precautionary loss function based on Jeffreys prior and singly type II censored samples can effectively be employed to obtain the Bayes estimate of the failure rate under Topp Leone distribution.

Keywords: loss functions, type II censoring, posterior distribution, Bayes estimators.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087910

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2503

References:


[1] C. W. Topp, and F. C. Leone, “A family of J-shaped frequency functions,” Journal of the American Statistical Association, vol. 50, pp.209–219, 1955.
[2] S. Nadarajah, and S. Kotz, “Moments of some J-shaped distribution,” Journal of Applied Statistics, vol. 30, pp. 311–317, 2003.
[3] D. Vicari, J. R. V. Dorp, and S. Kotz, “Two-sided generalized Topp and Leone (TS-GTL) distributions,” Journal of Applied Statistics, vol. 35, no. 10, pp. 1115–1129, 2008.
[4] Gen, and Ali, “Moments of order statistics of Topp-Leone distribution,” Statistical Papers, vol. 53, no. 1, pp. 117–121, 2012.
[5] P. S. Laplace, Theorie Analytique Des Probabilities. Veuve Courcier Paris, 1812.
[6] H. Jeffreys, Theory of Probability. 3rd edn: Oxford University Press, 1961, pp. 432.
[7] J. W. Wu, and S. H. Lin, “Interval estimation of the Weibull distribution under the failure-censored sampling plan,” Information and Management Sciences, vol. 12, no. 2, pp. 39–50, 2001.
[8] A. J. Fermindez, J. I. Bravo, and F. D. Fuentes, “Computing maximum likelihood estimates from Type II doubly censored exponential data,” Statistical Methods & Applications, vol. 11, pp. 187–200, 2002.
[9] M. Z. Raqab, and M. T. Madi, “Bayesian prediction of the total time on test using doubly censored Rayleigh data,” J. Statist. Comput. Simul., vol. 72, no. 10, pp. 781–789, 2002.
[10] A. Fauzy, “Interval estimation for parameters of exponential distribution under doubly type II censoring,” Journal of Applies Mathematics, vol. 10, pp. 71–79, 2004.
[11] M. Saleem, and M. Aslam, “On Bayesian analysis of the Rayleigh survival time assuming the random censored time,” Pakistan Journal of Statistics, vol. 25, no. 2, pp. 71–82, 2009.
[12] A. Asgharzadeh, and R. Valiollahi, “Estimation based on progressively censored data from the Burr model,” International Mathematical Forum, vol. 3, pp. 2113–2121, 2008.
[13] A. S. Akhter, and A. S. Hirai, “Estimation of the scale parameter from the Rayleigh distribution from type II singly and doubly censored data,” Pak.j.stat.opr.res., vol. 5, no. 1, pp. 31–45, 2009.
[14] M. Yarmohammadi, and H. Pazira, “Classical and Bayesian estimations on the generalized exponential distribution using censored data,” Int. J. of Math. Analysis, vol. 4, pp. 1417–1431, 2010.
[15] E. J. AL-Hussaini, and M. Hussein, “Estimation using censored data from exponentiated Burr type XII population,” American Open Journal of Statistics, vol.1, pp. 33–45, 2011.
[16] N. Feroze, and M. Aslam, “Bayesian analysis of Gumbel type ii distribution under doubly censored samples using different loss functions,” Caspian Journal of Applied Sciences Research, vol. 1, no. 10, pp. 1–10, 2012.
[17] N. Feroze, and M. Aslam, “Bayesian analysis of Burr type x distribution under complete and censored samples,” International Journal of Pure and Applied Sciences and Technology, vol. 11, no. 2, pp. 16–28, 2012.
[18] N. Feroze, and M. Aslam, “On Bayesian analysis of Burr type vii distribution under different censoring schemes,” International Journal of Quality, Statistics, and Reliability, vol. 3, pp. 1–5, 2012.
[19] E. L. Butler, “Estimating the survival distribution of aluminum processing pots,” Carnegie Mellon University Research Showcase, 2011.