Bayesian confidence intervals for the product of three normal means
โ Scribed by Malwane M.A. Ananda; Ashok K. Singh; G.T. Flatman
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 652 KB
- Volume
- 277
- Category
- Article
- ISSN
- 0003-2670
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โฆ Synopsis
The problem of estimating the product of three normal means of three independent normal distributions is considered. These types of estimation problems arise in many environmental applications, such as exposure assessment and risk modeling. Classical confidence interval estimates are available in the literature; we consider the problem from the Bayesian approach using two different proper prior distributions and one non-informative prior distribution. Assuming the quadratic loss, Bayesian estimates and Bayesian confidence intervals are given. Numerical integration or simulation are necessary to evaluate such confidence intervals. Computer programs written in Fortran are given to calculate these confidence intervals. Examples are provided.
๐ SIMILAR VOLUMES
In this paper we conduct a simulation study to evaluate coverage error, interval width and relative bias of four main methods for the construction of confidence intervals of log-normal means: the naive method; Cox's method; a conservative method; and a parametric bootstrap method. The simulation stu
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