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probability density function

CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

... these, probability density function (PDF)-based methods have proven valuable as they can be applied to a wide range of plant ...likelihood function obtained after the multiplication of the ...

18

Application of tests of goodness of fit in determining the probability density function for spacing of steel sets in tunnel support system

Application of tests of goodness of fit in determining the probability density function for spacing of steel sets in tunnel support system

... appropriate Probability Density Function (PDF) for random ...the probability distribution function for spacing of steel sets used for primary support of the ...

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Polynomial expansion of the probability density function about gaussian mixtures

Polynomial expansion of the probability density function about gaussian mixtures

... The proposed expansion is based on the Parzen estimation and uses the derivatives of known expansions (Gram-Charlier and Edgeworth) to a sum of Gaussiairs wit,h different[r] ...

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Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images

Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images

... Another approach is the use of the Probability Density Function (PDF) for the discrimination of different types of distributed scatters [9]. PDF models consider either parametric or nonparametric ...

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Mid-tropospheric δD observations from IASI/MetOp at high spatial and temporal resolution

Mid-tropospheric δD observations from IASI/MetOp at high spatial and temporal resolution

... Therefore, to construct a prior probability density function (pdf) we used outputs from the isotopologues-enabled general circulation model LMDz (Risi et al., 2010b) which has demonstrated its ...

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A Stochastic Diffusion Process Based on the Two-Parameters Weibull Density Function

A Stochastic Diffusion Process Based on the Two-Parameters Weibull Density Function

... of probability to model real-world situations in which uncertainty is ...the probability of outcomes within a forecast, ...distribution function (its trend is proportional to the bi-Weibull ...

6

J. Braz. Chem. Soc.  vol.16 número1

J. Braz. Chem. Soc. vol.16 número1

... A total of 500 points in the spectra and a representation of basis dimension up to 60 was found necessary to appropriately describe the positron annihilation process in Al(dpm) 3 . Since the singular values decay ...

5

J. Braz. Soc. Mech. Sci. & Eng.  vol.32 número3

J. Braz. Soc. Mech. Sci. & Eng. vol.32 número3

... the probability density function of W is constructed by means of the Maximum Entropy Principle (Shannon, 1948; Jaynes, ...the probability density function that maximizes the ...

9

Multiuser pdf estimation based criteria for adaptive blind separation of discrete sources

Multiuser pdf estimation based criteria for adaptive blind separation of discrete sources

... The criterion of interference removal is based on the maximization of the similarity between the recovered signal probability density function and a parametric model that fits the system order and ...

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A thesis presented by

A thesis presented by

... Double-Lognormal Function, the Smoothed Implied Volatility Smile and the Density Functional Based on Con‡uent Hypergeometric ..."true" probability density function (pdf) was ...

168

Braz. J. Phys.  vol.38 número2

Braz. J. Phys. vol.38 número2

... long-term probability density function of non-stationary dynamical processes with time varying multiplicative noise exponents which are enclosed inwards the Feller class of ...

7

Coupled Wiener processes: from single to collective dynamics of active particles

Coupled Wiener processes: from single to collective dynamics of active particles

... the probability density function of passive Brownian particles that started in square centre converges over time from a normal distribution to a uniform distribution with no accumulation of particles ...

84

eve cccavalcante a constrained

eve cccavalcante a constrained

... In a previous work [7] we have proposed an algorithm for source separation based on probability density function (pdf) estimation, called fitting pdf (FP) algorithm, that uses the e[r] ...

5

Análise de carteiras em tempo discreto

Análise de carteiras em tempo discreto

... Keywords: portfolio selection, portfolio optimization, large-scale optimization, tensor product, approximation of the multivariate probability density function, finite m[r] ...

154

Precipitation ensembles conforming to natural variations derived from  a regional climate model using a new bias correction scheme

Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme

... Climate change scenarios are generated using climate mod- els (e.g. GCMs and RCMs) and emission scenarios, and are the key information for understanding future changes in hy- drologic systems. While RCMs are designed to ...

16

Caracterização de canais sem fio em ambientes generalizados de desvanecimento

Caracterização de canais sem fio em ambientes generalizados de desvanecimento

... inglês probability density function), da função de distribuição cumulativa (CDF, do inglês cumulative distribution function) e da função de autocorrelação das distribuições (a) tradicionais: ...

92

Braz. J. Phys.  vol.34 número2A

Braz. J. Phys. vol.34 número2A

... a function of ...a function of time for a linear substrate with length L = 1000, and four different values of the density of inactive sites, ρ = 1 − m/L d ...and density of inactive ...

4

INVESTIGATION OF INFLUENCE OF ENCODING FUNCTION COMPLEXITY ON DISTRIBUTION OF ERROR MASKING PROBABILITY

INVESTIGATION OF INFLUENCE OF ENCODING FUNCTION COMPLEXITY ON DISTRIBUTION OF ERROR MASKING PROBABILITY

... where C is the robust code, g is a codeword that belongs to the code C , e is an error injected by an adversary, M is the number of codewords in the code C . Error vector e can take all possible values of the group G , ...

7

Externally studentized normal midrange distribution

Externally studentized normal midrange distribution

... The analytical equations of the distribution of the externally studentized normal midrange ( Q ), as well as of the distribution of normal midrange ( W ), were achieved. Probability density, cumulative ...

12

The Extended Log-Logistic Distribution: Properties and Application

The Extended Log-Logistic Distribution: Properties and Application

... the density and hazard rate ...its density function in terms of LL ...quantile function (qf), stan- dard measures for the skewness and kurtosis, probability weighted moments, mean ...

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