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amplitude probability density functions

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

... of Probability Density Functions (PDFs) in a toy model of self-organised shear flows, where the formation of shear flows is induced by a finite memory time of a stochastic forcing, manifested by the ...

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Cloud discrimination in probability density functions of limb-scattered sunlight measurements

Cloud discrimination in probability density functions of limb-scattered sunlight measurements

... The efficiency and reliability of the cloud detection tech- nique depends on the residual profile’s ability to characterize the occurrence of clouds. The scattering residual is computed as the logarithmic difference ...

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Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

... of Probability Density Functions (PDFs) in a toy model of self-organised shear flows, where the formation of shear flows is induced by a finite memory time of a stochastic forcing, manifested by the ...

19

An Emotion Recognition System based on Right Truncated Gaussian Mixture Model

An Emotion Recognition System based on Right Truncated Gaussian Mixture Model

... into amplitude values, after transforming these signals into amplitude sequence, we get the values for the emotions like, happy, sad, angry, neutral, boredom ...these amplitude values, the ...

5

Transmutation Of The Two Parameters-Rayleigh Distribution On The Effect Of Physical Training    On Age-Related Reduction Of GH Secretion During Exercise In Normally Cycling Women

Transmutation Of The Two Parameters-Rayleigh Distribution On The Effect Of Physical Training On Age-Related Reduction Of GH Secretion During Exercise In Normally Cycling Women

... Rayleigh distribution (RD) is a continuous probability distribution for positive-valued random variables. It is a special case of the Weibull distribution and it is broadly used for survival analysis [1]. Lord ...

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Some results on a generalized ω Jacobi transform

Some results on a generalized ω Jacobi transform

... certain functions under this transform. Moreover, we define a new probability density function (pdf) involving this new generalized ω-Jacobi ...basic functions associated with the pdf, such as ...

9

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

... SED fitting methods are capable to derive all at once the zphot, the spectral type and the Probability Density Function (or PDF) of the error distribution of each source. However, these methods suffer from ...

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Detection of Ground Moving Targets for Two-Channel Spaceborne SAR-ATI

Detection of Ground Moving Targets for Two-Channel Spaceborne SAR-ATI

... joint probability density function (PDF) of interferogram’s phase and amplitude and the two hypotheses “clutter” and “clutter plus signal”, several constant false alarm rate (CFAR) detection criteria ...

9

Tail risk in pension funds: An analysis using ARCH models and bilinear processes

Tail risk in pension funds: An analysis using ARCH models and bilinear processes

... in probability theory suggests that infinite higher-order moments should lead to a heavy-tailed probability ...higher probability than anticipated, then larger contributions will be required from ...

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Determination of Maximum Bayesian Entropy Probability Distribution

Determination of Maximum Bayesian Entropy Probability Distribution

... univariate probability distribution functions are extended for multivariate cases via Bayesian ...bivariate probability distributions with unavailable analytical solutions are also ...

8

Rip Van Winkle looks at Multiparticle Phase Shift Analysis

Rip Van Winkle looks at Multiparticle Phase Shift Analysis

... Partial Wave Analysis Formalism  Can use Density Matrix or Amplitude Can use Density Matrix or Amplitude. – Amplitude enforces rank and positivity conditions on Amplitude enforces ran[r] ...

26

The distribution of productivity in Irish manufacturing between 1995 and 2004 : determinants, changes and implications

The distribution of productivity in Irish manufacturing between 1995 and 2004 : determinants, changes and implications

... the probability density functions using a Gaussian kernel in 1995 and ...relative density function (RDF) that is obtained by setting the cumulative density functions of the 1995 ...

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Age Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals

Age Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals

... the probability density functions (pdf’s) of the EEG relative displacements ΔY τ (the Euc- lidean distances between scaled multichannel human EEG signals pairs at given time lag τ ) along this ...

5

Recovering Risk-Neutral Probability Density Functions from Options Prices using Cubic Splines

Recovering Risk-Neutral Probability Density Functions from Options Prices using Cubic Splines

... If a unique RNPM on the space of future states of an economy is given, we can price any security for which we can determine the future payoffs for each state in the state space. Therefore, a fundamental problem in asset ...

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Some Inequalities for Random Variables whose Probability Density Functions are Bounded using a Pre-Grüss Inequality

Some Inequalities for Random Variables whose Probability Density Functions are Bounded using a Pre-Grüss Inequality

... In this paper, by using the same approach, we obtain some inequalities for the expectation E (X ) and cumulative distribution function F ( · ) of a random variable having the probability distribution function f : ...

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A stochastic approach for the description of the water balance dynamics in a river basin

A stochastic approach for the description of the water balance dynamics in a river basin

... The present work represents an attempt to fill such a gap introducing a mathematical schematization for the derivation of the probability distribution of the relative saturation of a basin accounting for the ...

12

Exponentiated Kumaraswamy-Dagum distribution with applications to income and lifetime data

Exponentiated Kumaraswamy-Dagum distribution with applications to income and lifetime data

... the probability density function, hazard and reverse hazard functions, moments, mean and median deviations, reliability, Bonferroni and Lorenz curves, as well as entropy measures for this class of ...

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Revisit of relationships and models for the Birnbaum-Saunders and inverse-Gaussian distributions

Revisit of relationships and models for the Birnbaum-Saunders and inverse-Gaussian distributions

... the density varies widely with different values of the ...the density is bimodal if both α > 2 and ν > 2, and the major mode is always less than the minor ...

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Effects of statistical distribution of joint trace length on the stability of tunnel excavated in jointed rock mass

Effects of statistical distribution of joint trace length on the stability of tunnel excavated in jointed rock mass

... The mean value of exponential distribution function equals to Equation (12). In the production of data with known averages of this distribution function for joint trace length, in addition to the parameter λ (i.e., ...

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