Sentence examples for presentation of uncertainty from inspiring English sources

For example, Walley (1987) and Caselton and Luo (1992) discuss the problems dealt with Bayes common analysis which are due to the unreliability of information, and Klir (1989) has criticized the probable presentation of uncertainty for knowledge inference.

More routine numerical presentation of uncertainty for risk coefficients and other variables (e.g., t-statistics, p-value, 95% confidence interval, standard error of central estimates) would also be useful to risk assessments.

The work is an example of Lichtenstein's presentation of the uncertainty of the one-eyed perspective.

There remains considerable debate concerning the presentation of joint uncertainty for estimates of cost-effectiveness.

Figure 1 provides a presentation of the uncertainty in the analysis, showing the probability that each treatment takes each possible ranking (1st best, 2nd best, etc).

The consequences of this, and suggestions for assessment and presentation of the uncertainties for ranking of revision risk estimates are discussed in Part II, Section 4.

Since at the beginning of this study, there were no data on publication bias following BSS abstract presentations and because of uncertainty about the applicability of the descriptors used, a higher relevant difference was chosen for this subgroup (30%) and a smaller sample size was possible.

Simulation-modelling techniques (with Monte Carlo sampling) using @Risk software [ 17] were used to allow the presentation of the 95% uncertainty range around the benefits, costs and cost-effectiveness ratios.

The focus is on exploring the following aspects: clarity of study objective; adequacy of comparison; choice of study perspective and design; measuring and valuation of costs and outcomes; reporting of data sources; handling of uncertainty; presentation of results.

In advanced courses, those rules are challenged with presentation of exceptions and uncertainties.

When more than one decision maker is involved, the unified probabilistic presentation of different types of uncertainties (eg, observer-independent stochastic characteristics with theoretical assumptions, subjective judgments, and speculations about unknown parameter and variable values) is as much a liability as it is an asset.