In many engineering situations, we are interested in finding the corre-lation between different quantities x and y based on the values xi and yi of these quantities measured in different situations i. Measurements are never absolutely accurate; it is therefore necessary to take this inaccu-racy into account when estimating the correlation . Sometimes, we know the probabilities of different values of measurement errors, but in many cases, we only know the upper bounds ∆xi and ∆yi on the corresponding measurement errors. In such situations, after we get the measurement results exi and eyi, the only information that we have about the actual (unknown) values xi and yi is that they belong to the corresponding in-tervals [exi ∆xi;exi +∆xi] 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. Measur...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many situations, we are interested in finding the correlation ρ between different quantities x an...
In many practical situations, we have a sample of objects of a given type. When we measure the value...
In many practical situations, we have a sample of objects of a given type. When we measure the value...
In high performance computing, when we process a large amount of data, we do not have much informati...
The paper is a continuation of our previous work towards the use of probability information in inter...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In many practical situations, we only know the upper bound D on the (absolute value of the) measurem...
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 errors. For example,...
Abstract. In many engineering applications, we have to combine probabilistic and interval errors. Fo...
It is well know how to estimate the uncertainty of the result y of data processing if we know the co...
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. Measur...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
In many situations, we are interested in finding the correlation ρ between different quantities x an...
In many practical situations, we have a sample of objects of a given type. When we measure the value...
In many practical situations, we have a sample of objects of a given type. When we measure the value...
In high performance computing, when we process a large amount of data, we do not have much informati...
The paper is a continuation of our previous work towards the use of probability information in inter...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In many practical situations, we only know the upper bound D on the (absolute value of the) measurem...
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 errors. For example,...
Abstract. In many engineering applications, we have to combine probabilistic and interval errors. Fo...
It is well know how to estimate the uncertainty of the result y of data processing if we know the co...
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. Measur...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...