Sentence examples for identifying the probability of from inspiring English sources

To further determine the uncertainty associated with a priori intervention over all WTP thresholds for each strategy (Fenwick et al, 2001), this study produced a CEAF by identifying the probability of the optimal strategy in each of 1000 iterations based on the strategy with the highest expected net benefits at different WTP thresholds (Barton et al, 2008).

It identifies the probability of making a wrong estimation (in reception) of the information bit that is being transmitted.  .

An important task of uncertainty quantification is to identify the probability of undesired events, in particular, system failures, caused by various sources of uncertainties.

In the following part, different porosity crossplots and overlays have been used to identify the probability of fractured zones in the limestone Matulla Formation.

A fragility analysis is conducted, which identifies the probability of exceeding a structural damage level depending on ground motion intensity, along with a limit state probability analysis to quantify the annual exceedance probability of a specified damage level.

Therefore, the SSA helped to identify the probability of the malicious mobile device, whereas the contending approaches either deploy no proper secure authentication or apply fragile authentication mechanisms that can only secure the traditional networks but are not appropriate for mobile cloud computing [37, 38].

Whilst the former identifies the probability of an outcome with the frequency of occurrence of that outcome in a sufficiently large number of samples, the latter reflects the degree of belief in a given outcome, quantified from an a-priori estimate which is progressively adjusted as long as new information is added.

Alternatively, the DSI is a continuous variable, we can identify the probability of FHF prognosis (survival or death) based on the magnitude and dynamic change of the DSI.

For a given gene set, PIPA identifies the probability of seeing an observed number of protein interactions between siRNA hits by chance.

We apply an EM-like algorithm, presented as Algorithm 1, to identify the probability of each possible SD, CD and GD event.

In multiple-choice format, 38%% of patients/HCPs (n = 12/32), 38%% of physicians (n = 12/32), and 28%% of nurses (n = 9/32) identified the probability of requiring lifelong dialysis if discharged consistently with published literature (less than 25%%).