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Normalized probability size density function for underflow

Unwrapped phase estimation via normalized probability density function for multibaseline InSAR

Unwrapped phase estimation via normalized probability density function for multibaseline InSAR

... defined normalized phase probability density function (pdf), a novel wrapped-to-unwrapped phase (W2UP) estimation method is proposed for ...the normalized pdf is introduced to overcome ...

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On the Recursive Estimation of the Location and of the Size of the Mode of a Probability Density

On the Recursive Estimation of the Location and of the Size of the Mode of a Probability Density

... a probability space (Ω, A, P) equipped with a filtration F = (F n ...the function h; this consistency property will be proved for (θ n ) and (µ n ) by applying Robbins-Monro’s theorem (see Section ...

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Probability density function estimation using orthogonal forward regression

Probability density function estimation using orthogonal forward regression

... the density construction process to further enforce ...the density construction ...kernel density estimate with comparable accuracy to that of the full-sample optimised Parzen window density ...

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On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

... VIII. C ONCLUSIONS In this paper, we have addressed the problem of PDF parameter estimation by means of the MoLC approach. This recently developed estimator can be used for a wide range of applications, notably for SAR ...

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The Probability Density Function of Interest Rates Implied in the Price of Options

The Probability Density Function of Interest Rates Implied in the Price of Options

... true probability distribution is a mixture of two normals cannot be rejected at any level of ...the size of the area in the upper tail of the overall ...

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Attributing a probability to the shape of a probability density

Attributing a probability to the shape of a probability density

... of size n −1/5 ...indicator function, and so the bootstrap estimate of the probability that the sampled density has k modes is well approximated by a random variable that takes only the values ...

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Negative-free approximation of probability density function for nonlinear projection filter

Negative-free approximation of probability density function for nonlinear projection filter

... basis function ap- proach, the main issue is the negativeness of the probability in some places of the sampling ...the size of the negative probability area, the number of basis functions must ...

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Wavelet Analysis Based Estimation of Probability Density function of Wind Data

Wavelet Analysis Based Estimation of Probability Density function of Wind Data

... Analysed Density Function of Wind Speed Data ...the probability density function of the wind data set of small sample ...based density is compared with the Weibull fitted ...

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Estimating the Probability Density Function of the Electromagnetic Susceptibility from a Small Sample of Equipment

Estimating the Probability Density Function of the Electromagnetic Susceptibility from a Small Sample of Equipment

... sample size if a non-informative prior is used for the parameters of the probability density ...susceptibility probability distribution with respect to the frequentist version of maximum ...

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Recovering the Probability Density Function of Asset Prices Using GARCH as Diffusion Approximations

Recovering the Probability Density Function of Asset Prices Using GARCH as Diffusion Approximations

... The value of the pricing error over the 284 trading days and for all the options observed in a given day is reported in Figure 5. It is analogous in size to the value recorded on July 22, 1996 and is worth noting ...

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Water/oil separation modeling by population balance equations - solution of the probability density function

Water/oil separation modeling by population balance equations - solution of the probability density function

... Separation of water and oil is required mainly for reasons of product quality and water reuse. This is achieved by several methods being the gravity settlers the least expensive and simplest one. The physical mechanisms ...

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Experimental Assessment of ‘subgrid’ scale Probability Density Function

Models for Large Eddy Simulation

Experimental Assessment of ‘subgrid’ scale Probability Density Function Models for Large Eddy Simulation

... A double frame Charge Couple Device (CCD) (Imager Intense) camera from LaVision Inc. was used in this work. This camera was equipped with a Nikkor lens with focal length 50 l f = mm and f#1.4 (where f# is the f-number). ...

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probability density function Cj pdf ),

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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Improving the Accuracy of the Probability Density Function Estimation

Improving the Accuracy of the Probability Density Function Estimation

... the probability density function similarly the averaged shifted histogram ...the probability density function and its second deriva- tive to choose the optimal settings for ...

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A generalized beta function and associated probability density

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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A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks

... the probability density function (pdf), that is the probability to have the variable x at time t if it had the value at a preceding time ...the probability to have x in the range x and ...

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An introductory survey of probability density function control

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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An introductory survey of probability density function control

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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A Probability Density Function Generator Based on Deep Learning

A Probability Density Function Generator Based on Deep Learning

... as activation functions in the hidden layers of the proposed deep learning model for learning actual.. 151[r] ...

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Probability density function : An arbitrary continuous random variable X is similarly described by its probability density function f x = f X

Probability density function : An arbitrary continuous random variable X is similarly described by its probability density function f x = f X

... with probability 0, there is 0 probability that a standard normal takes the specific value 14−np np 1− p  corresponding to the single value X =14 ...the density function of the standard ...

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