135
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Bayesian sample size determination for the bounded linex loss function

&
Pages 1644-1653 | Received 07 Feb 2011, Accepted 09 Dec 2012, Published online: 07 Jan 2013

References

  • Adcock CJ. A Bayesian approach to calculating sample sizes. Statistician 1988;37:433–439. doi: 10.2307/2348770
  • Joseph L, Belisle P, Bayesian sample size determination for normal means and differences between normal means. Statistician 1997;46:209–226.
  • Joseph L, Du Berger R, Belisle P. Bayesian and mixed Bayesian likelihood criteria for sample size determination. Stat. Med. 1997;16:769–781. doi: 10.1002/(SICI)1097-0258(19970415)16:7<769::AID-SIM495>3.0.CO;2-V
  • Lindley DV. Bayesian statistics, a review. Philadelphia, PA: Society for Industrial and Applied Mathematics; 1972.
  • Islam AFMS, Pettit LI. Bayesian sample size determination using linex loss and linear cost. Comm. Stat. Theory Methods 2012;41:223–240. doi: 10.1080/03610926.2010.521279
  • Zellner A. Bayesian estimation and prediction using asymmetric loss functions. J. Amer. Statist. Assoc. 1986; 81:446–451. doi: 10.1080/01621459.1986.10478289
  • Lindley DV. A class of utility functions. Ann. Statist. 1976;4:1–10. doi: 10.1214/aos/1176343343
  • Smith JQ. Bayes estimates under bounded loss. Biometrika 1980;67:629–638. doi: 10.1093/biomet/67.3.629
  • Wen D, Levy S. BLINEX: a bounded asymmetric loss function. Comm. Statist. Theory Methods 2001;30:147–153. doi: 10.1081/STA-100001564
  • Wen D, Levy S. Algorithm of fitting BLINEX loss parameters. Comm. Statist. Simulation Comput. 2004;33:597–608. doi: 10.1081/SAC-200033337
  • R Development Core Team, R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. ISBN 3-900051-07-0; 2008. Available from: http://www.R-project.org.
  • Jackson C, Nixon R. Winbugs in health economic evaluations. Notes for MRC biostatistics unit course; 2010 July 15–16; Cambridge: MRC Biostatistics Unit; 2010.
  • Bernardo JM, Smith AFM. Bayesian theory. Chichester: Wiley; 1994.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.