<p>Probability density functions (PDF) of Gaussian (<b>a</b>) and mean (<b>b</b>) curvatures. Like before, the uncertainty intervals arise from the different segmentation parameters.</p
In metrology practice, uncertainty budget calculation might include components based on little measu...
<p>The points represent the empirical distribution function for , and ; the dashed red line is our ...
In scientific metrology practise the application of Monte Carlo simulations with the aid of the GUM ...
<p>Probability density functions (PDF) of the local air volume thicknesses for the two different opt...
<p>The probability density functions for Laplacian and Gaussian distributions.</p
The curvature in the normal Q-Q plot highlights the disagreement between the simulated data and the ...
<p>Different combinations of shape parameters (scale parameters are fixed) for the four different mo...
This paper introduces a feature descriptor called Shape of Gaussian (SOG), which is based on a gener...
markdownabstract__Abstract__ Conditional density estimation is an important problem in a variety ...
In uncertainty analysis, estimating the degree of uncertainty based on some physical experiments is ...
In the analysis of spatial data, one is often interested in modeling conditional probability distrib...
88 pages. A thesis presented to the Department of Economics and the Clark Honors College of the Univ...
Many statistical characteristics y = f(x1,..., xn) are continuous, sym-metric, and either concave or...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
<p>Possible ranges of uncertain parameters of the model, and medians and interquartile ranges which ...
In metrology practice, uncertainty budget calculation might include components based on little measu...
<p>The points represent the empirical distribution function for , and ; the dashed red line is our ...
In scientific metrology practise the application of Monte Carlo simulations with the aid of the GUM ...
<p>Probability density functions (PDF) of the local air volume thicknesses for the two different opt...
<p>The probability density functions for Laplacian and Gaussian distributions.</p
The curvature in the normal Q-Q plot highlights the disagreement between the simulated data and the ...
<p>Different combinations of shape parameters (scale parameters are fixed) for the four different mo...
This paper introduces a feature descriptor called Shape of Gaussian (SOG), which is based on a gener...
markdownabstract__Abstract__ Conditional density estimation is an important problem in a variety ...
In uncertainty analysis, estimating the degree of uncertainty based on some physical experiments is ...
In the analysis of spatial data, one is often interested in modeling conditional probability distrib...
88 pages. A thesis presented to the Department of Economics and the Clark Honors College of the Univ...
Many statistical characteristics y = f(x1,..., xn) are continuous, sym-metric, and either concave or...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
<p>Possible ranges of uncertain parameters of the model, and medians and interquartile ranges which ...
In metrology practice, uncertainty budget calculation might include components based on little measu...
<p>The points represent the empirical distribution function for , and ; the dashed red line is our ...
In scientific metrology practise the application of Monte Carlo simulations with the aid of the GUM ...
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