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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A fast algorithm for sparse probability density function construction [PDF]
, 2013 A new sparse kernel density estimator is introduced. Our main contribution is to develop a recursive algorithm for the selection of significant kernels one at time using the minimum integrated square error (MISE) criterion for both kernel selection.
Xia Hong +3 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
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Best Probability Density Function for Random Sampled Data
Entropy, 2009 The maximum entropy method is a theoretically sound approach to construct an analytical form for the probability density function (pdf) given a sample of random events.
Donald J. Jacobs
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SIMPLE APPROACH OF THE SERVER’S BUSY PERIOD FOR SELFSERVICE SYSTEM WITH FEEDBACK [PDF]
Delta Journal of Science, 2019 In this paper, we provide an easy method to obtain thedistribution of busy period for self-service queue with feedback. Usingprobability generating function we obtain the probability that there are nunits in the system at time t , pn ( t ) and the ...
S. E. Abou Karam, K. A. M. Kotb
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Approximation of binomial probability function for a normal probability function
, 2011 Notions of statistics and probabilityThe digital animation presents the approximation of the function of the binomial probability for a function of normal probability, also known as Gaussian distribution.
Rojo, Isabel Martín +3 more
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Nonlocal Probability Theory: General Fractional Calculus Approach
Mathematics, 2022 Nonlocal generalization of the standard (classical) probability theory of a continuous distribution on a positive semi-axis is proposed. An approach to the formulation of a nonlocal generalization of the standard probability theory based on the use of ...
Vasily E. Tarasov
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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
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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
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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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