Exemplos de uso de Density functions em Inglês e suas traduções para o Português
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Three probability density functions(PDF) of random variables with log-normal distributions.
Mandelbrot divided the distributions of probability(pdf- probability density functions) in two major types.
We demonstrate that the new density functions can be expressed as a linear combination of exponentiated-g(¿eg¿,for short) density functions.
To get exact-- well, I will go into more of this when I talk about probability density functions.
Borel's paradox: Conditional probability density functions are not invariant under coordinate transformations.
In general, convergence in distribution does not imply that the sequence of corresponding probability density functions will also converge.
It is common for probability density functions(and probability mass functions) to be parametrized-that is, to be characterized by unspecified parameters.
With the assistance of the SPSS statistical package, we fitted the density functions to the frequency data of each region of Brazil.
For any set of independent random variables the probability density function of their joint distribution is the product of their individual density functions.
However, according to Scheffé's theorem, convergence of the probability density functions implies convergence in distribution.
Due to strong asymmetry in their probability density functions, the RMSNNvariables were log-transformed before analysis to fit appropriately in the parametric statistical analysis.
It is conventional to use a capital"F" for a cumulative distribution function, in contrast to the lower-case"f" used for probability density functions and probability mass functions. .
And I encourage you to rewatch the video on probability density functions because it's a little bit of a transition going from the binomial distribution, which is discreet.
The coupling constants arethen no longer fixed, instead, they fluctuate around average values obeying some given probability density functions characterizing the dynamical-imperfection case.
The objective of this study was to adjust probability density functions to data of severity and duration of droughts in three sub-regions of the semiarid region of brazil sab.
The result of the LDA application to the parameters can be modeled as a random bivariate normal variable whose probability density functions PDF for the two hypothesis present a normal distribution.
This technique allows to obtain, numerically, the probability density functions(pdf) of the output quantities through the propagation of the pdf of the inputs quantities using the measurement function. .
And instead of the electron being in orbits around it, which would be how a planet orbits the sun. Instead of being in orbits around it,it's described by orbitals, which are these probability density functions.
These distributions are characterized by having probability density functions which integrate to values less than one when the domain of some of their parameters is different from that usually defined.
Simulate the behavior of the nominal stress of resistance to the propagation of the fracture,¿n, with consideration of uncertainties and correlations between gf and cf,¿gfcf,getting their probability density functions, f(x), for some geometries.
The approach used in this work to simulate contact between rough surfaces,given the probability density functions of asperities, consists in discretizing them in several intervals, so that each one represents a main asperity.
However, the statistical functions commonly used in the analysis of these series, for example, mean square value, autocorrelation functions andpower spectral density functions require the stationarity of the series.
The time series obtained are used as input data for determining the probability density functions(pdf) using a finite mixture model, according to an asymmetric student t function and with the aid of a monte carlo method.
The dmi is a simpler tool than the te, from the computational point of view. therefore,dmi depends on the statistical analysis of second order probability density functions, whereas the te depends on third order functions. .
Among the obtained results we highlight the decomposition of the new families¿probability density functions as a linear combination of exponentiated densities, expressions for moments, generating functions, entropies and maximum entropy characterization.
In this thesis, a wide general class of models for mixed responses is proposed in which joint distributions are constructed by the conditional approach probability density functions,(pdf), as the product of a marginal pdf and a conditional pdf.
Therefore, to contribute to the development of this knowledge, this study aimed to evaluate of forest dynamics based on variations of the diameter distribution, of the basal area and commercial volume,as well as the adjustment of probability density functions.
At the beginning of each history simulation,the photon released position and its initial direction of travelling are uniform probability density functions within the parallelepiped containing the source organ, as in the MIRD Medical Internal Radiation Dose formulation.
For this distribution we obtained the mathematical properties,such as general expansions for the probability density functions and cumulative distribution, expressions of the maximum likelihood estimators of the parameters, the expected information matrix and identifiability.
Where is the streamflow probability density function.