density function

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density function

[′den·səd·ē ‚fəŋk·shən]
(mathematics)
A density function for a measure m is a function which gives rise to m when it is integrated with respect to some other specified measure.
(statistics)
probability density function.
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References in periodicals archive ?
Barkley, Henry, and Bao (1996) examine patterns of spatial structural change for functional economic areas in North Carolina, South Carolina, and Georgia by estimating population density functions using census tract data.
An examination of urban form in Halifax-Dartmouth: Alternative approaches in data
Nonparametric estimators are flexible, allowing the slope of density functions to vary across the metropolitan area.
Polycentric urban structure: The case of Milwaukee
Recent papers propose methods where a hat function that approximates the respective probability density function or probability vector is constructed (e.
A Simple Universal Generator for Continuous and Discrete Univariate T-Concave Distributions
The respective cumulative density functions for [{X}.
An image enhancement method for extracting multi-license plate region
The method assumes that the errors follow a Gaussian probability density function (PDF) with zero mean value and some known correlation matrix.
Assessing the Value of Information for Multiple, Correlated Design Alternatives
If the distribution G (x) has density g (x) the class will have a probability density function (pdf) given by
A new class of gamma distribution/Uma nova classe de distribuicoes gama
Probability Density Function (PDF) The Weibull's form of PDF is [4]
Assessment of Weibull Parameter by Five Numerical Methods and Estimation of Wind Speed at Rotterdam, Netherland
PNN is a parallel algorithm developing from Bayesian classification and the Parzen window probability density function estimator (Umamaheswari, 2016; Shih, 2016).
Research on the teaching quality evaluation model in colleges and universities based on Probabilistic Neural Network
Following Rice's [6] description of the probability density function for load peaks, Bendat [7] showed how to calculate the fatigue damage for a narrowband random loading input.
Review and assessment of frequency-based fatigue damage models
From the families of multidimensional probability distributions described in literature [2], [3] we chose the Gaussian, Dirichlet and gamma distributions for analysis because their probability density functions are easy to use in analytical expressions.
Fusion of multisensor data based on different multidimensional distributions
A variety of strain energy density functions have been extracted from Rivlin's model.
Constitutive modeling of isotropic hyperelastic materials using proposed phenomenological models in terms of strain invariants
2](v) are the probability density functions (pdfs) corresponding to the cdfs [F.
General results for the transmuted family of distributions and new models

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