Sensitivity analysis has traditionally been applied to decision models to quantify the stability of a preferred alternative to parametric variation. In the health literature, sensitivity measures have traditionally been based upon distance metrics, payoff variations, and probability measures. We adv
Bayesian estimation: A sensitivity analysis
β Scribed by George C. Canavos
- Publisher
- John Wiley and Sons
- Year
- 1975
- Tongue
- English
- Weight
- 354 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0894-069X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## ABSTRACT In this study we evaluate the forecast performance of modelβaveraged forecasts based on the predictive likelihood carrying out a prior sensitivity analysis regarding Zellner's __g__ prior. The main results are fourfold. First, the predictive likelihood does always better than the tradit
A generalized negative binomial (GNB) distribution W M introduced by J m and CONSUL (1971) and was modified by NEL~ON (1976). The probability function of the distribution ie defined by the function p ( z ; m, B, 0) =-P ( 1 -O)m+~z-rforz=O,l, ..., andzerootherwise, where mrO, 0-=8<1 and /3=0 or 1 PP-
The subject of this paper is the sensitivity analysis of approximate boundary element solutions with respect to the positions of the collocation points. The direct differentiation approach is considered here and the analysis is performed analytically. Since only the collocation points are perturbed,