The proposed models relate in a simple fashion the conditional individual probability of failure characterising a single flaw (estimated by a Monte Carlo simulation) to the probability of failure characterising a population of flaws.
It is based on the concept of 'conditional individual probability of initiating failure' characterising a single fault, which permits us to relate in a simple fashion the conditional individual probability of failure characterising a single fault to the probability of failure characterising a population of faults.
The equations are based on the concept 'conditional individual probability of initiating failure' characterising a single flaw given that it is in the stressed component.
The accuracy of the failure probability predictions is characterised as a function of the number of support points, dispersion of the support points in relation to the so-called design point and order of the Kriging basis functions.
The steady-state probability distribution, where each state is assigned a non-zero probability, characterises the long-run behaviour of the BNp.
The reliability of traditional non-destructive methods for crack detection is well understood and characterised using Probability of Detection (POD) curves.
In the context of electronic patient records, item response theory models characterise the probability of a general practitioner recording, or not recording a stroke code that is drawn from a set of Read medical codes, as a function of the latent trait measured by these codes.
For each screening test, we characterised the probability of a positive test result given a satisfactory test and given the underlying health states in the natural history model, which included normal, HPV infected (approximated as PCR-HPV positive), CIN1, CIN2, CIN3 and stage-specific undiagnosed and diagnosed cancer states.
That is, if all pairs of probability and utility functions characterising the agent's attitudes agree on the ranking of two options, then these particular options should be ranked accordingly.
Transition probabilities were characterised by a Dirichlet distribution.
