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correlations matrix

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  • Covariance matrix — A bivariate Gaussian probability density function centered at (0,0), with covariance matrix [ 1.00, .50 ; .50, 1.00 ] …   Wikipedia

  • Multitrait-multimethod matrix — The multitrait multimethod (MTMM) matrix is an approach to examining Construct Validity developed by Campbell and Fiske(1959)[1]. There are six major considerations when examining a construct s validity through the MTMM matrix, which are as… …   Wikipedia

  • Jacket matrix — In mathematics, a Jacket matrix is a square matrix A= a {ij} of order n whose entries are from a field (including real field, complex field, finite field ), if : AA^{mathrm{*= A^{mathrm{*A= n I n where :A^{mathrm{* is the transpose of the matrix… …   Wikipedia

  • correlation matrix — noun a matrix giving the correlations between all pairs of data sets • Topics: ↑statistics • Hypernyms: ↑matrix …   Useful english dictionary

  • Dependency network — Contents 1 Importance 2 Overview 3 The activity dependency networks …   Wikipedia

  • Ising model — The Ising model, named after the physicist Ernst Ising, is a mathematical model in statistical mechanics. It has since been used to model diverse phenomena in which bits of information, interacting in pairs, produce collectiveeffects.Definition… …   Wikipedia

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  • Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… …   Wikipedia

  • 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

  • Multiple correlation — In statistics, multiple correlation is a linear relationship among more than two variables. It is measured by the coefficient of multiple determination, denoted as R2, which is a measure of the fit of a linear regression. A regression s R2 falls… …   Wikipedia

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