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Four variables need to be considered when displaying the probability of exceeding a given tephra accumulation, including geographic coordinates (Easting, Northing or longitude, latitude), a threshold of tephra accumulation and its associated exceedance probability.
The bootstrapped ICERs will be presented in a cost-effective acceptability curve displaying the probability that the intervention is cost-effective for a wide range of willingness-to-pay thresholds.
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Figure 9 displays the probability density functions of the gas holdup distribution values in the pixel cells.
That is, the fifth column displays the probability that the expected value of the coefficient is positive based on all cases (i.e. models), the variable was included.
Hazard curves fix the geographical location to display the probability of exceeding any tephra accumulation at a given point (e.g. Bonadonna 2006).
In Fig. 2, we show the marginal density of eigenvalues for n=3, while in Figs. 3 and 4 we display the probability distributions and densities of the extreme eigenvalues.
Figure 4 displays the probability of (Pr left {mathcal {E}^{(4 }right }) with respect to θ where P S =θ P P. Various channel conditions are considered where (delta _{textit {pr}}^{-1}=10) dB and (delta _{textit {sr}}^{-1}=tau delta _{textit {pr}}^{-1}).
Figure 3 represents the Cost-Effectiveness Acceptability Curve for the SBI scenario, which displays the probability that the alcohol SBI is cost effective for different values of the threshold, i.e. for different monetary values placed on a QALY [14], [20].
Kaplan-Meier curves displayed the probability of survival over the study period among men and women of different ages.
Each CEAC displays the probability that an intervention is cost effective for a range of willingness to pay values (£0-£50,000).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com