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Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics

, 2021
Quantifying cherry fruit quality parameters is essential to maintaining high quality produce throughout the supply chain as it influences consumer confidence in the product.
R. Pullanagari, Mo Li
semanticscholar   +1 more source

A new uncertainty measure via belief Rényi entropy in Dempster-Shafer theory and its application to decision making

Communications in Statistics - Theory and Methods, 2023
Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong advantages over probability theory. Whereas the uncertainty measure of basic belief assignment (BBA) in DST is an open and essential problem.
Zhe Liu   +3 more
semanticscholar   +1 more source

Student Estimates of Probability and Uncertainty in Advanced Laboratory and Statistical Physics Courses

AIP Conference Proceedings, 2007
Equilibrium properties of macroscopic systems are highly predictable as n, the number of particles approaches and exceeds Avogadro's number; theories of statistical physics depend on these results. Typical pedagogical devices used in statistical physics textbooks to introduce entropy (S) and multiplicity (ω) (where S = k ln(ω)) include flipping coins ...
Donald B. Mountcastle   +5 more
openaire   +1 more source

RETRACTED: Analysis of birth rates in China with uncertain statistics

Journal of Intelligent & Fuzzy Systems, 2023
 Uncertain statistics is a set of mathematical techniques to collect, analyze and interpret data based on uncertainty theory. In addition, probability statistics is another set of mathematical techniques based on probability theory.
Tingqing Ye, Haoran Zheng
semanticscholar   +1 more source

Probability and Statistics: The Science of Uncertainty

The American Statistician, 2005
(2005). Probability and Statistics: The Science of Uncertainty. The American Statistician: Vol. 59, No. 3, pp. 276-277.
openaire   +1 more source

Probability, Statistics, and Reliability for Engineers and Scientists


Introduction Introduction Knowledge, Information, and Opinions Ignorance and Uncertainty Aleatory and Epistemic Uncertainties in System Abstraction Characterizing and Modeling Uncertainty Simulation for Uncertainty Analysis and Propagation Simulation ...
B. Ayyub, R. McCuen
semanticscholar   +1 more source

Neural Conditional Probability for Uncertainty Quantification

Neural Information Processing Systems
We introduce Neural Conditional Probability (NCP), an operator-theoretic approach to learning conditional distributions with a focus on statistical inference tasks.
Vladimir Kostic   +5 more
semanticscholar   +1 more source

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
openaire   +1 more source

Probability and Statistics for Computer Scientists

, 2013
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps ...
M. Baron
semanticscholar   +1 more source

Core-wide statistical evaluation of the effect of uncertainties in clad temperature, material property data, and burnup on the probability of LMFBR fuel rod failure due to creep rupture

Nuclear Engineering and Design, 1974
Abstract Rigorous treatment of the uncertainties inherent in LMFBR core component design requires the development of probabilistic design tools to analyze life-limiting loading mechanisms. One of these tools is a Monte Carlo simulation technique that has been developed to analyze sealed plenum fuel rods subject to fission gas-induced creep rupture ...
D.B. Atcheson, M.I. Temme
openaire   +1 more source

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