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Review of RiskQ: An Interactive Approach to Probability, Uncertainty, and Statistics for Use with Mathematica2

Risk Analysis, 1993
RiskQ is a computer program designed to enable users to perform analyses involving probability, uncertainty, and statistics. It is written in the Mathematica programming language. RiskQ is intended for individuals who have experience with Mathematica and a good working knowledge of probabilistic and statistical concepts.
Donald M. Murray, David E. Burmaster
openaire   +1 more source

Quantifying changes and their uncertainties in probability distribution of climate variables using robust statistics

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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Binomial distribution of Poisson statistics and tracks overlapping probability to estimate total tracks count with low uncertainty

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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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

Beyond Traditional Interval Uncertainty in Describing Statistical Characteristics: Case of Interval Bounds on the Probability Density Function

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 – i.e., that its derivative F′(x) (= a probability density function) is bounded – 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), 1974
P. R. Freeman, C. F. Dietrich
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