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Four types of probability density functions (PDFs) are used to model those uncertainties.
The solid and dotted curves denote the fit of two types of probability density functions (Laplace and Gaussian distributions).
There are three types of probability distributions used in this study: (1) log-normal; (2) beta; and (3) gamma.
The crucial observation is that there is a characterization of weak dominance in terms of best response to certain types of probability measures.
This allows the transition from initial qualitative models until the end of quantitative models, passing through intermediate stages of combination of both types of probability estimates.
We conclude that the different types of probability scale are equally suitable for supporting probability assessments.
Similar(53)
Two types of probability-boxes are distinguished: free and parametric (also called distributional) p-boxes.
For both types of probability-boxes, the extensive use of meta-models allows for an efficient estimation of the failure probability at a limited number of runs of the performance function.
When calculating the cost of risk, three types of probabilities may exist: immediate, time independent, and time dependent.
The performance of a detection algorithm is, usually, characterized by two types of probabilities: the false alarm probability (P fa) and the detection probability (P d).
The orders of convergence to zero of both types of probabilities are assumed to be suitably bounded below according to an Osipov-type condition and the sample distribution is assumed to satisfy a corresponding tail condition due to Linnik.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com