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bivariate dependence

См. также в других словарях:

  • Correlation and dependence — This article is about correlation and dependence in statistical data. For other uses, see correlation (disambiguation). In statistics, dependence refers to any statistical relationship between two random variables or two sets of data. Correlation …   Wikipedia

  • Copula (statistics) — In statistics, a copula is used as a general way of formulating a multivariate distribution in such a way that various general types of dependence can be represented. Other ways of formulating multivariate distributions include conceptually based …   Wikipedia

  • Copula (probability theory) — In probability theory and statistics, a copula can be used to describe the dependence between random variables. Copulas derive their name from linguistics. The cumulative distribution function of a random vector can be written in terms of… …   Wikipedia

  • Regression toward the mean — In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… …   Wikipedia

  • Fermi–Dirac statistics — Statistical mechanics Thermodynamics · …   Wikipedia

  • Relativistic Breit–Wigner distribution — The relativistic Breit–Wigner distribution (after Gregory Breit and Eugene Wigner) is a continuous probability distribution with the following probability density function:[1] Where k is the constant of proportionality, equal to with …   Wikipedia

  • Copula (Mathematik) — Eine Copula (Pl. Copulas oder Copulae) ist eine Funktion, die einen funktionalen Zusammenhang zwischen den Randverteilungsfunktionen verschiedener Zufallsvariablen und ihrer gemeinsamen Wahrscheinlichkeitsverteilung angeben kann. Mit ihrer Hilfe… …   Deutsch Wikipedia

  • Cauchy distribution — Not to be confused with Lorenz curve. Cauchy–Lorentz Probability density function The purple curve is the standard Cauchy distribution Cumulative distribution function …   Wikipedia

  • Comonotonicity — In probability theory, comonotonicity mainly refers to the perfect positive dependence between the components of a random vector, essentially saying that they can be represented as increasing functions of a single random variable. Perfect… …   Wikipedia

  • Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …   Wikipedia

  • Negative binomial distribution — Probability mass function The orange line represents the mean, which is equal to 10 in each of these plots; the green line shows the standard deviation. notation: parameters: r > 0 number of failures until the experiment is stopped (integer,… …   Wikipedia

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