AU - Najafi, Narges AU - Bevrani, Hossein TI - Bayesian Sample Size Computing for Normal Distribution via Lowest Posterior Loss Intervals PT - JOURNAL ARTICLE TA - JSS JN - JSS VO - 4 VI - 1 IP - 1 4099 - http://jss.irstat.ir/article-1-99-en.html 4100 - http://jss.irstat.ir/article-1-99-en.pdf SO - JSS 1 ABĀ  - This paper is devoted to compute the sample size for estimation of Normal distribution mean with Bayesian approach. The Quadratic loss function is considered and three criterions are applied to obtain p- tolerance regions with the lowest posterior loss. These criterions are: average length, average coverage and worst outcome. The proposed methodology is examined, and its effectiveness is shown. CP - IRAN IN - LG - eng PB - JSS PG - 77 PT - Applied YR - 2010