Results 11 to 20 of about 9,066,590 (300)
Mean velocity and suspended sediment concentration profile model of turbulent shear flow with probability density function [PDF]
Earth Sciences Research Journal, 2017 This work purposes a general mean velocity and a suspended sediment concentration (SSC) model to express distribution at every point of the cross section of turbulent shear flow by using a probability density function method.
Guanglin Wu +2 more
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Fusion of Probability Density Functions
Proceedings of the IEEE, 2022 Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of multiple probability density functions (pdfs) of a continuous random variable or vector.
Günther Koliander +3 more
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On the Probability Density Function of Baskets [PDF]
, 2015 The state price density of a basket, even under uncorrelated Black-Scholes dynamics, does not allow for a closed from density. (This may be rephrased as statement on the sum of lognormals and is especially annoying for such are used most frequently in Financial and Actuarial Mathematics.) In this note we discuss short time and small volatility ...
Bayer, Christian +2 more
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Modelling and control of the flame temperature distribution using probability density function shaping [PDF]
, 2006 This paper presents three control algorithms for the output probability density function (PDF) control of the 2D and 3D flame distribution systems. For the 2D flame distribution systems, control methods for both static and dynamic flame systems are ...
Wang, Hong, Sun, Xubin, Yue, Hong
core +3 more sources
The Probability Density Function of Bearing Obtained From a Cartesian-to-Polar Transformation
IEEE Access, 2022 The problem of tracking a two-dimensional Cartesian state of a target using polar observations is well known. At a close range, a traditional extended Kalman filter (EKF) can fail owing to nonlinearity introduced by the Cartesian-to-polar transformation ...
Kevin R. Ford, Anton J. Haug
doaj +1 more source
Short-Term Probability Density Function Forecasting of Industrial Loads Based on ConvLSTM-MDN
Frontiers in Energy Research, 2022 Load forecasting for industrial customers is essential for reliable operation decisions in the electric power industry. However, most of the load forecasting literature has been focused on deterministic load forecasting (DLF) without considering ...
Yuan Y. Wang +5 more
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Neutrosophic Sets and Systems, 2020 Deneutrosophication is a process to evaluate real output from neutrosophic information. The paper presents on a novel deneutrosophication algorithm. The process is developed with similarity measure and probability density function (PDF). This similarity
Kanika Mandal
doaj +1 more source
Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators [PDF]
, 2012 Innovations on Bridges and Soil-Bridge Interaction (IBSBI 2011), Athens, Greece, October 13-15, 2011Kernel density estimators are a non-parametric method of estimating the probability density function of sample data.
Leahy, Cathal +2 more
core +1 more source
A generalized beta function and associated probability density
International Journal of Mathematics and Mathematical Sciences, 2002 We introduce and establish some properties of a generalized form of the beta function. Corresponding generalized incomplete beta functions are also defined.
Y. Ben Nakhi, S. L. Kalla
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Dark-photon search using data from CRESST-II Phase 2
European Physical Journal C: Particles and Fields, 2017 Identifying the nature and origin of dark matter is one of the major challenges for modern astro and particle physics. Direct dark-matter searches aim at an observation of dark-matter particles interacting within detectors.
G. Angloher +42 more
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