Probability density function (pdf) analysis
Time-dependent probability density function in cubic stochastic processes
... δ function initial condition [that is, the dash-dotted lines have κ = 1 − 10 −8 /2d in ...theoretical analysis developed for a δ-function initial condition is still relevant even for ...
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Time-dependent probability density function in cubic stochastic processes
... where κ is an arbitrary constant. Taking κ = 1 would correspond to a δ-function initial condition, whereas κ = 1 − 10 − 8 /2d corresponds to the actual initial condition (64). Fig. 2 shows how the peak amplitudes ...
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On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
... The analysis performed in this paper suggests that MoLC, despite its restrictions, is a valid and capable estimator for the case of multiplicative PDF models or when the well-established ML and MoM methodologies ...
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A Herschel-SPIRE survey of the Mon R2 giant molecular cloud: analysis of the gas column density probability density function
... greybody function and an optimal beta value of ...column density histogram, or column density probability distribution function (N-PDF), is lognormal below ∼10 21 cm − 2 ...column ...
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AK P: An Active Learning Method Combing Kriging and Probability Density Function for Reliability Analysis
... The probability of failure obtained by AK-P is almost the same as the results from the AK-MCS, while the computational efficiency is higher than AK-MCS in this ...higher probability density in ...
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Unwrapped phase estimation via normalized probability density function for multibaseline InSAR
... phase probability density function (pdf), a novel wrapped-to-unwrapped phase (W2UP) estimation method is proposed for ...theoretical analysis and results using the simulated and real MB data ...
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Shaping of molecular weight distribution by iterative learning probability density function control strategies
... Convergence analysis In order to guarantee the convergence of the proposed iterative learning algorithn for PDF control, appro- priate learning rates in equations (60) and (61) should be chosen to tune the ...
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Wavelet Analysis Based Estimation of Probability Density function of Wind Data
... Analysed Density Function of Wind Speed Data ...Wavelet analysis based technique has been explored for estimating the probability density function of the wind data set of small ...
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Improving the Accuracy of the Probability Density Function Estimation
... of density estimate and mean integrated squared errors analysis To estimate the probability density function, researchers use a variety of approaches includ- ing kernel assessment, ...
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A Probability Density Function for Google s stocks
... the influence of the reservoir so, we have to consider the behavior of the entire system S+R. Finally, being interested in properties of the system S only, it is necessary to find a way to eliminate the variables of R. A ...
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Seismic Hazard Analysis based on the Joing Probability Density Function of PGA and PGV
... seismic probability safety analysis, ground motion intensity is usually expressed by a single index such as peak ground acceleration (hereinafter called PGA), spectral acceleration at a specified period, or ...
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Robust Scale Estimation for the Generalized Gaussian Probability Density Function
... 6 Experimental results Assessment of the robustness of the proposed method is done using simulations. Those simulations are performed under certain conditions explained below. That reflect real sit- uations of interest ...
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Deep-based conditional probability density function forecasting of residential loads
... i) Cluster/classify similar customers in terms of the number of the days/weather to reduce the variance of the uncertainty. The performance of the cluster/classification based approaches are highly dependent on the ...
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Decision Tree Analysis Tool with the Design Approach of Probability Density Function towards Uncertain Data Classification
... esteem. Probability density function with equal probabilities is one compelling data uncertainty demonstrating system to speak to each estimation of a property as an arrangement of ...utilizing ...
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Estimating the Probability Density Function of the Electromagnetic Susceptibility from a Small Sample of Equipment
... the probability density ...susceptibility probability distribution with respect to the frequentist version of maximum likelihood inference (MLI) ...a function of the size ...the ...
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Probability Density Estimation Function of Browser Share Curve for Users Web Browsing Behaviour
... failure probability. This relationship generates probability based quadratic function which has a definite bounded ...a function of many parameters and is required to be ...
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A note on the convergence analysis of a sparse grid multivariate probability density estimator
... grid function spaces C860 imation space is used, but which can be applied to higher dimensions and also scales linearly with data size, both in storage and execution ...estimate probability density ...
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probability density function Cj pdf ),
... giving rise to the Multivariate Hypergeometric distribution and relabel all objects that are not of type in , -.[r] ...
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A generalized beta function and associated probability density
... Y. BEN NAKHI and S. L. KALLA Received 30 April 2001 We introduce and establish some properties of a generalized form of the beta function. Corresponding generalized incomplete beta functions are also defined. ...
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An introductory survey of probability density function control
... Fault diagnosis and mini- mum entropy fault tolerant control for non-gaussian singular stochastic distribution systems using square-root approxi- mation.. Minimum entropy fault-tolerant [r] ...
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