Sentence examples for from a probability interval from inspiring English sources

The method proposed is straightforward since the TDI estimate is derived directly from a probability interval of a normally-distributed variable in its original scale, without further transformations.

Finally, we would like to highlight that the method proposed here is straightforward since the TDI estimate is derived directly from a probability interval of a normally-distributed variable in its original scale, without further transformations.

At the end of day 1, the estimated mean attack size equals 850 (with a 95% probability interval ranging from 60 to 3,300).

Variables with a 80% posterior probability interval including zero were excluded from further analyses.

Each control model has a corresponding error probability interval [13].

We present a novel approach which allows us to obtain the system failure probability interval from the statistical parameter intervals of the basic variables.

If the only information available regarding the incubation time for some agent is a likely range, then one approach to creating a distribution for use with our model is to assume that the range corresponds to a probability coverage interval from a plausible incubation time distribution (such as the lognormal) and match the parameters of the distribution accordingly.

The majority of single gene knock-outs did not result in significant departure from wild-type system behaviours, with only 23% of knock-out/behaviour comparisons showing behaviour probabilities outside of 95% binomial probability interval of a wild-type (WT).

Thus, the clinical question posed and the interpretation of the probability interval, are more clinically intuitive from a Bayesian perspective.

In order to examine the impact of sensitivity (SE) and specificity (SP) of the assay, a posterior distribution of the adjusted prevalence (AP), and 95% probability interval (P.I ., was obtained from the observed prevalence (OP) based on the relationship AP = OP + SP − 1 SE + SP − 1 [ 14] and Bayesian analysis.

Prevalence of M. bovis infection was estimated from the posterior distribution at 20.8% 95%% probability interval: 16.4 25.8%).