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(generalized random function)

См. также в других словарях:

  • Generalized Gaussian distribution — (GGD)= A random variable X has generalized Gaussian distribution if its probability density function (pdf) is given byf(x;m,sigma,alpha)=a exp( |(x m)/b|^alpha) ,x in R, where m is the mean of the distribution, sigma is the standard deviation,… …   Wikipedia

  • Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …   Wikipedia

  • Generalized extreme value distribution — Probability distribution name =Generalized extreme value type =density pdf cdf parameters =mu in [ infty,infty] , location (real) sigma in (0,infty] , scale (real) xiin [ infty,infty] , shape (real) support =x>mu sigma/xi,;(xi > 0) x …   Wikipedia

  • Random matrix — In probability theory and mathematical physics, a random matrix is a matrix valued random variable. Many important properties of physical systems can be represented mathematically as matrix problems. For example, the thermal conductivity of a… …   Wikipedia

  • Generalized Dirichlet distribution — In statistics, the generalized Dirichlet distribution (GD) is a generalization of the Dirichlet distribution with a more general covariance structure and twice the number of parameters. Random variables with a GD distribution are neutral [R. J.… …   Wikipedia

  • Indicator function — The graph of the indicator function of a two dimensional subset of a square. In mathematics, an indicator function or a characteristic function is a function defined on a set X that indicates membership of an element in a subset A of …   Wikipedia

  • Naor-Reingold Pseudorandom Function — In 1997, Moni Naor and Omer Reingold described efficient constructions for various cryptographic primitives in private key as well as public key cryptography. Their result is the construction of an efficient pseudorandom function. Let p and l be… …   Wikipedia

  • Probability density function — Boxplot and probability density function of a normal distribution N(0, σ2). In probability theory, a probability density function (pdf), or density of a continuous random variable is a function that describes the relative likelihood for this… …   Wikipedia

  • Riemann zeta function — ζ(s) in the complex plane. The color of a point s encodes the value of ζ(s): dark colors denote values close to zero and hue encodes the value s argument. The white spot at s = 1 is the pole of the zeta function; the black spots on the… …   Wikipedia

  • Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of …   Wikipedia

  • Cumulative distribution function — for the normal distributions in the image below …   Wikipedia

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