Add to ORKGAbstract. In many engineering applications, we have to combine probabilistic and interval errors. For example, in environmental analysis, we observe a pollution level x(t) in a lake at different moments of time t, and we would like to estimate standard statistical characteristics such as mean, variance, autocorrelation, correlation with other measurements. In environmental measurements, we often only know the values with interval uncertainty. We must therefore modify the existing statistical algorithms to process such interval data. Such modification are described in this paper
In many practical situations, we only know the upper bound D on the (absolute value of the) measurem...
In high performance computing, when we process a large amount of data, we do not have much informati...
Part 4: UQ PracticeInternational audienceThis paper illustrates how interval analysis can be used as...
In many engineering applications, we have to combine probabilistic and interval errors. For example,...
Abstract. In many engineering applications, we have to combine probabilistic and interval errors. Fo...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many engineering applications, we have to combine probabilistic and interval errors. For example,...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many practical application, we process measurement results and expert estimates. Measur...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In many practical problems, we need to process measurement results. For example, we need such data p...
In many engineering applications, we have to combine probabilistic, interval, and fuzzy uncertainty....
In many practical situations, we only know the upper bound D on the (absolute value of the) measurem...
In high performance computing, when we process a large amount of data, we do not have much informati...
Part 4: UQ PracticeInternational audienceThis paper illustrates how interval analysis can be used as...
In many engineering applications, we have to combine probabilistic and interval errors. For example,...
Abstract. In many engineering applications, we have to combine probabilistic and interval errors. Fo...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many engineering applications, we have to combine probabilistic and interval errors. For example,...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many practical application, we process measurement results and expert estimates. Measur...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical application, we process measurement results and expert estimates. Measurements and...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In many practical problems, we need to process measurement results. For example, we need such data p...
In many engineering applications, we have to combine probabilistic, interval, and fuzzy uncertainty....
In many practical situations, we only know the upper bound D on the (absolute value of the) measurem...
In high performance computing, when we process a large amount of data, we do not have much informati...
Part 4: UQ PracticeInternational audienceThis paper illustrates how interval analysis can be used as...