Results 171 to 180 of about 100,335 (213)
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Climate Dynamics, 2006
Robust tools are presented in this manuscript to assess changes in probability density function (pdf) of climate variables. The approach is based on order statistics and aims at computing, along with their standard errors, changes in various quantiles and related statistics.
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Robust tools are presented in this manuscript to assess changes in probability density function (pdf) of climate variables. The approach is based on order statistics and aims at computing, along with their standard errors, changes in various quantiles and related statistics.
openaire +1 more source
Radiation Measurements, 2015
Abstract In the solid state nuclear track detectors of chemically etched type, nuclear tracks with center-to-center neighborhood of distance shorter than two times the radius of tracks will emerge as overlapping tracks. Track overlapping in this type of detectors causes tracks count losses and it becomes rather severe in high track densities ...
Omid Khayat +2 more
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Abstract In the solid state nuclear track detectors of chemically etched type, nuclear tracks with center-to-center neighborhood of distance shorter than two times the radius of tracks will emerge as overlapping tracks. Track overlapping in this type of detectors causes tracks count losses and it becomes rather severe in high track densities ...
Omid Khayat +2 more
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Probability and Statistics: A Comprehensive Treatise on the Mathematical Foundations of Uncertainty
Metadata-only deposit. Full text available via Amazon KDP. Part of the Scottish Science Society Press catalogue. ISSN 2755-6360.openaire +2 more sources
2012
In the previous chapter, we considered the case when, in addition to knowing the interval bounds on the cumulative distribution function F(x) (= p-box), we also know that the function F(x) is smooth. In addition to knowing that F(x) is smooth â i.e., that its derivative Fâ˛(x) (= a probability density function) is bounded â we sometimes also know the ...
Hung T. Nguyen +3 more
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In the previous chapter, we considered the case when, in addition to knowing the interval bounds on the cumulative distribution function F(x) (= p-box), we also know that the function F(x) is smooth. In addition to knowing that F(x) is smooth â i.e., that its derivative Fâ˛(x) (= a probability density function) is bounded â we sometimes also know the ...
Hung T. Nguyen +3 more
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Uncertainty, Calibration and Probability. The Statistics of Scientific and Industrial Measurment.
Journal of the Royal Statistical Society. Series A (General), 1974P. R. Freeman, C. F. Dietrich
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Journal of the American Statistical Association, 1959
F. J. Anscombe, Robert Schlaifer
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F. J. Anscombe, Robert Schlaifer
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Uncertainty and Risk, Likelihood and Probability, Statistical Significance and Actual Significance
SSRN Electronic Journal, 2023openaire +1 more source
The Review of Economics and Statistics, 1961
Franklin M. Fisher, Robert Schlaifer
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Franklin M. Fisher, Robert Schlaifer
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Sustainable investing with ESG rating uncertainty
Journal of Financial Economics, 2022Si Cheng +2 more
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