Examples of using Distribution function in English and their translations into Spanish
{-}
-
Colloquial
-
Official
Cumulative distribution function value PDF Graph.
It have terminal cable and distribution function.
The distribution function FX1,…,Xn(x1,…, xn) of a finite sequence of exchangeable random variables is symmetric in its arguments x1,…, xn.
Total scattering(atomic pair distribution function analysis).
Nu is the shape parameter(or degrees of freedom) of the innovations/residuals probability distribution function.
It is based on BRDF lighting models(Bidirectional reflectance distribution function) that light transport calculated at different frequencies.
Another name for the survival function is the complementary cumulative distribution function.
The calculator provides for values of the upper-tail(cumulative) distribution function for the F distribution, function UTPF, given the parameters νN and νD, and the value of F.
In such games, the terminal time is a random variable with a given probability distribution function.
The Boltzmann equation for the distribution function of a gas in non-equilibrium states is still the most effective equation for studying transport phenomena in gases and metals.
Figure F2: An example of empirical cumulative distribution function mapping.
Even at zero temperature, the particles' momentum distribution function does not display a sharp jump, in contrast to the Fermi liquid where this jump indicates the Fermi surface.
The link function is the inverse of a distribution function.
These calculations are based on the bidirectional reflectance distribution function(BRDF), which describes how the reflectance of a given surface depends on the view angle of the observer and the solar angle.
The Link Function provides the relationship between the linear predictor and the mean of the distribution function.
When using a distribution function with a canonical parameter θ{\displaystyle\theta}, the canonical link function is the function that expresses θ{\displaystyle\theta} in terms of μ{\displaystyle\mu}, i.e. θ b( μ){\displaystyle\theta=b\mu.
Suppose now that is a random variable with an uniform distribution function, between 100 and 600.
The equation for an s-particle distribution function(probability density function) in the BBGKY hierarchy includes the(s+ 1)-particle distribution function thus forming a coupled chain of equations.
The(frequency) histogram is probably the most familiar and intuitive distribution function which fairly approximates the PDF.
The summary statistics in the 1st row are computed merely to facilitate the creation of the table or computing the overlay Gaussian distribution function.
In addition to many fixes,the new version now include an intuitive user interface for(1) Empirical distribution function(EDF),(2) Kernel density estimator(KDE), and(3) Discrete Fourier transform.
So far, we have not assumed any functional form for the probability distribution of$Z_t$,but here's a few observations about the candidate distribution function.
When the response data, Y,are binary(taking on only values 0 and 1), the distribution function is generally chosen to be the Bernoulli distribution and the interpretation of μi is then the probability, p, of Yi taking on the value one.
What we mean by probability distribution analysis is essentially the selection process of a distribution function parametric or non-parametric.
The bidirectional reflectance distribution function(BRDF; f r( ω i, ω r){\displaystyle f_{\ text{ r}}(\ omega_{\text{i}},\,\omega_{\text{r}})}) is a function of four real variables that defines how light is reflected at an opaque surface.
In the case of the two-stream instability,when an electron stream is injected to the plasma, the particles' velocity distribution function has a"bump" on its"tail.
Instead of dividing the surface of the distribution function in rectangles with decreasing height, we divide the height of the curve in a sufficient number of points and we store the value of the x coordinate corresponding to each of them.
The realization that scattering from a surface depends on both incoming andoutgoing directions is the key principle behind the Bidirectional reflectance distribution function BRDF.
From the perspective of generalized linear models, however,it is useful to suppose that the distribution function is the normal distribution with constant variance and the link function is the identity, which is the canonical link if the variance is known.