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Noninformative Priors for the Difference of Two Quantiles in Exponential Models

  • Kang, Sang-Gil (Department of Computer and Data Information, Sangji University) ;
  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University) ;
  • Lee, Woo-Dong (Department of Assent Management, Daegu Haany University)
  • Published : 2007.08.31

Abstract

In this paper, we develop the noninformative priors when the parameter of interest is the difference between quantiles of two exponential distributions. We want to develop the first and second order probability matching priors. But we prove that the second order probability matching prior does not exist. It turns out that Jeffreys' prior does not satisfy the first order matching criterion. The Bayesian credible intervals based on the first order probability matching prior meet the frequentist target coverage probabilities much better than the frequentist intervals of Jeffreys' prior. Some simulation and real example will be given.

Keywords

References

  1. Albers, W. and Lohnberg, P. (1984). An approximate confidence interval for the difference between quantiles in a bio-medical problem. Statistica Neerlandica, 38, 20-22 https://doi.org/10.1111/j.1467-9574.1984.tb01093.x
  2. Barlow, R. E. and Proschan, F. (1975). Statistical Theory of Reliability and Life Testing. Holt, Reinhart and Winston, New York
  3. Berger, J. O. and Bernardo, J. M. (1989). Estimating a product of means: Bayesian analysis with reference priors. Journal of the American Statistical Association, 84, 200-207 https://doi.org/10.2307/2289864
  4. Berger, J. O. and Bernardo, J. M. (1992a). Reference priors in a variance components problem. Bayesian Analysis in Statistics and Econometrics (P. Goel and N. S. Iyengar eds.), 177-194, Springer-Verlag, New York
  5. Berger, J. O. and Bernardo, J. M. (1992b). On the development of reference priors (with discussion). Bayesian Statistics IV (J. M. Bernardo, et. at. eds.), 35-60, Oxford University Press, Oxford
  6. Bernardo, J. M. (1979). Reference posterior distributions for Bayesian inference (with discussion). Journal of the Royal Statistical Society, Ser. B, 41, 113-147
  7. Bristol, D. R. (1990). Distribution-free confidence intervals for the difference between quantiles. Statistica Neerlandica, 44, 87-90 https://doi.org/10.1111/j.1467-9574.1990.tb01530.x
  8. Cox, D. R. and Reid, N. (1987). Orthogonal parameters and approximate conditional inference (with discussion). Journal of Royal Statistical Society, Ser. B, 49, 1-39
  9. Datta, G. S. and Ghosh, J. K. (1995a). On priors providing frequentist validity for Bayesian inference. Biometrika, 82, 37-45 https://doi.org/10.1093/biomet/82.1.37
  10. Datta, G. S. and Ghosh, M. (1995b). Some remarks on noninformative priors. Journal of the American Statistical Association, 90, 1357-1363 https://doi.org/10.2307/2291526
  11. Datta, G. S. and Ghosh, M. (1996). On the invariance of noninformative priors. The Annal of Statistics, 24, 141-159 https://doi.org/10.1214/aos/1033066203
  12. Davis, D. J. (1952). An analysis of some failure data. Journal of the American Statistical Association, 47, 113-150 https://doi.org/10.2307/2280740
  13. DiCiccio, T. J. and Stern, S. E. (1994). Frequentist and Bayesian Bartlett correction of test statistics based on adjusted profile likelihood. Journal of the Royal Statistical Society, Ser. B, 56, 397-408
  14. Epstein, B. and Sobel, M. (1953). Life testing. Journal of the American Statistical Association, 48, 486-502 https://doi.org/10.2307/2281004
  15. Ghosh, J. K. and Mukerjee, R. (1992). Noninformative priors (with discussion). Bayesian Statistics IV (J. M. Bernardo, et. al. eds.), 195-210, Oxford University Press, Oxford
  16. Guo, H. and Krishnamoorthy, K. (2005). Comparison between two quantiles: the normal and exponential cases. Communications in Statistics: Simulation and Computation, 34, 243-252 https://doi.org/10.1081/SAC-200055639
  17. Huang, L. F. and Johnson, R. A. (2006). Confidence regions for the ratio of percentiles. Statistics & Probability Letters, 76, 384-392 https://doi.org/10.1016/j.spl.2005.08.034
  18. Lawless, J. F. (2003). Statistical Models and Methods for Lifetime Data. John Wiley & Sons, Hoboken, New Jersey
  19. Mukerjee, R. and Dey, D. K. (1993). Frequentist validity of posterior quantiles in the presence of a nuisance parameter: higher order asymptotics. Biometrika, 80, 499-505 https://doi.org/10.1093/biomet/80.3.499
  20. Mukerjee, R. and Ghosh, M. (1997). Second-order probability matching priors. Biometrika, 84, 970-975 https://doi.org/10.1093/biomet/84.4.970
  21. Proschan, F. (1963). Theoretical explanation of observed decreasing failure rate. Technometrics, 5, 375-383 https://doi.org/10.2307/1266340
  22. Stein, C. M. (1985). On the coverage probability of confidence sets based on a prior distribution. Sequential Methods in Statistics, Banach Center Publications, 16, 485-514 https://doi.org/10.4064/-16-1-485-514
  23. Tibshirani, R. (1989). Noninformative priors for one parameter of many. Biometrika, 76, 604-608 https://doi.org/10.1093/biomet/76.3.604
  24. Welch, B. L. and Peers, H. W. (1963). On formulae for confidence points based on integrals of weighted likelihoods. Journal of the Royal Statistical Society, Ser. B, 25, 318-329