Table of Contents
International Journal of Quality, Statistics, and Reliability
Volume 2011 (2011), Article ID 395034, 8 pages
http://dx.doi.org/10.1155/2011/395034
Research Article

Bayes Estimation of Change Point in Discrete Maxwell Distribution

Department of Statistics, Bhavnagar University, Bhavnagar 364002, India

Received 28 December 2010; Revised 13 May 2011; Accepted 13 May 2011

Academic Editor: Ajit K. Verma

Copyright © 2011 Mayuri Pandya and Hardik Pandya. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. K. Tyagi and S. K. Bhattacharya, β€œBayes estimation of the Maxwell's velocity distribution function,” Statistica, vol. 29, no. 4, pp. 563–567, 1989. View at Google Scholar
  2. A. Chaturvedi and U. Rani, β€œClassical and Bayesian Reliability estimation of the generalized Maxwell failure distribution,” Journal of Statistical Research, vol. 32, pp. 113–120, 1998. View at Google Scholar
  3. L. D. Broemeling and H. Tsurumi, Econometrics and Structural Change, Marcel Dekker, New York, NY ,USA, 1987.
  4. P. N. Jani and M. Pandya, β€œBayes estimation of shift point in left truncated exponential sequence,” Communications in Statistics, vol. 28, no. 11, pp. 2623–2639, 1999. View at Google Scholar Β· View at Scopus
  5. N. Ebrahimi and S. K. Ghosh, β€œCh. 31. Bayesian and frequentist methods in change-point problems,” in Handbook of Statistics, N. Balakrishna and C. R. Rao, Eds., vol. 20, pp. 777–787, 2001. View at Google Scholar
  6. S. Zacks, β€œSurvey of classical and Bayesian approaches to the change point problem: fixed sample and sequential procedures for testing and estimation,” in Recent Advances in Statistics. Herman Chernoff Best Shrift, pp. 245–269, Academic Press, New York, NY, USA, 1983. View at Google Scholar
  7. M. Pandya and P. N. Jani, β€œBayesian estimation of change point in inverse weibull sequence,” Communications in Statistics, vol. 35, no. 12, pp. 2223–2237, 2006. View at Publisher Β· View at Google Scholar Β· View at Scopus
  8. M. Pandya and S. Bhatt, β€œBayesian estimation of shift point in Weibull distribution,” Journal of the Indian Statistical Association, vol. 45, no. 1, pp. 67–80, 2007. View at Google Scholar
  9. M. Pandya and P. Jadav, β€œBayesian estimation of change point in inverse Weibull distribution,” IAPQR Transactions, vol. 33, no. 1, pp. 1–23, 2008. View at Google Scholar
  10. M. Pandya and P. Jadav, β€œBayesian estimation of change point in mixture of left truncated exponential and degenerate distribution,” Communication in Statistics, vol. 39, no. 15, pp. 2742–2742, 2010. View at Google Scholar
  11. R. Calabria and G. Pulcini, β€œBayes credibility intervals for the left-truncated exponential distribution,” Microelectronics Reliability, vol. 34, no. 12, pp. 1897–1907, 1994. View at Publisher Β· View at Google Scholar Β· View at Scopus
  12. H. R. Varian, β€œA Bayesian approach to real estate assessment,” in Studies in Bayesian Econometrics and Statistics in Honor of Leonard J. Savage, Feigner and A. Zellner, Eds., pp. 195–208, North Holland, Amsterdam, The Netherlands, 1975. View at Google Scholar
  13. R. Calabria and G. Pulcini, β€œPoint estimation under asymmetric loss functions for left-truncated exponential samples,” Communications in Statistics, vol. 25, no. 3, pp. 585–600, 1996. View at Google Scholar Β· View at Scopus