Quantitative Models for the Effects of Differential-pressure Manometer Scale Resolution and Hot-wire Voltage Measurement Bit Depth on Gaussian Fluctuation Characteristics [PDF]
Journal of Applied Fluid MechanicsA rigorous analytical framework quantifies the influence of instrument resolution on flow-velocity statistics. Differential-pressure fluctuations recorded by a Pitot tube are assumed Gaussian, whereas pressure-transducer graduations are treated as a ...
H. Fukuhara, H. Suzuki, T. Kouchi
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Invariances for Gaussian models [PDF]
, 2015 At the heart of a statistical analysis, we are interested in drawing conclusions about random variables and the laws they follow. For this we require a sample, therefore our approach is best described as learning from data.
Adametz, David
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Moisture induced changes of volume and density of some cereal seeds
Plant, Soil and Environment, 2015 The effect of wetting in the density and volume of seeds of barley, rye and two cultivars of wheat was determined. Two levels of wetting were used: (i) 6 h wetting close to the end of imbibition; (ii) 24 h wetting close to the beginning of germination ...
J. Blahovec, M. Lahodová
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Unbiased converted measurement manoeuvering target tracking under maximum correntropy criterion
Cognitive Computation and Systems, 2020 In this study, the manoeuvering target tracking problem is addressed by using the unbiased converted measurements from a two-dimensional radar system.
Guoyong Wang, Xiaoliang Feng
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Gaussian quadrature for non-Gaussian distributions
AIP Conference Proceedings, 2022 Many problems of operations research or decision science involve continuous probability distributions, whose handling may be sometimes unmanageable; in order to tackle this issue, different forms of approximation methods can be used. When constructing a k-point discrete approximation of a continuous random variable, moment matching, i.e., matching as ...
Barbiero, Alessandro, Hitaj, Asmerilda
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Hierarchical Gaussian process mixtures for regression [PDF]
, 2005 As a result of their good performance in practice and their desirable analytical properties, Gaussian process regression models are becoming increasingly of interest in statistics, engineering and other fields.
Titterington, D.M. +2 more
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Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 [PDF]
Geoscientific Model Development, 2022 The modeling of ship emissions in port areas involves several uncertainties and approximations. In Eulerian grid models, the vertical distribution of emissions plays a decisive role for the ground-level pollutant concentration.
R. Badeke +3 more
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Self-adaptation of mutation distribution in evolutionary algorithms [PDF]
, 2007 This paper is posted here with permission from IEEE - Copyright @ 2007 IEEEThis paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpose,
Yang, S +5 more
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Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
Leida xuebao, 2013 The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed,
Yan Liang +4 more
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Improved Bernoulli Sampling for Discrete Gaussian Distributions over the Integers
Mathematics, 2021 Discrete Gaussian sampling is one of the fundamental mathematical tools for lattice-based cryptography. In this paper, we revisit the Bernoulli(-type) sampling for centered discrete Gaussian distributions over the integers, which was proposed by Ducas et
Shaohao Xie, Shaohua Zhuang, Yusong Du
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