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multivariate analysis of variance

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  • Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …   Wikipedia

  • Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

  • multivariate analysis — Univariate analysis consists in describing and explaining the variation in a single variable. Bivariate analysis does the same for two variables taken together (covariation). Multivariate analysis (MVA) considers the simultaneous effects of many… …   Dictionary of sociology

  • analysis of variance — noun a statistical method for making simultaneous comparisons between two or more means; a statistical method that yields values that can be tested to determine whether a significant relation exists between variables • Syn: ↑ANOVA • Topics:… …   Useful english dictionary

  • multivariate analysis — noun a generic term for any statistical technique used to analyze data from more than one variable • Topics: ↑statistics • Hypernyms: ↑statistical method, ↑statistical procedure • Hyponyms: ↑multiple regression, ↑ …   Useful english dictionary

  • Multivariate statistics — is a form of statistics encompassing the simultaneous observation and analysis of more than one statistical variable. The application of multivariate statistics is multivariate analysis. Methods of bivariate statistics, for example simple linear… …   Wikipedia

  • Multivariate normal distribution — MVN redirects here. For the airport with that IATA code, see Mount Vernon Airport. Probability density function Many samples from a multivariate (bivariate) Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the… …   Wikipedia

  • Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   Wikipedia

  • Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… …   Wikipedia

  • Multivariate Normalverteilung — Die gemeinsame Wahrscheinlichkeitsverteilung mehrerer Zufallsvariablen nennt man multivariate Verteilung oder auch mehrdimensionale Verteilung. Inhaltsverzeichnis 1 Formale Darstellung 2 Ausgewählte multivariate Verteilungen 3 Die multivariate… …   Deutsch Wikipedia

  • Multivariate stable distribution — multivariate stable Probability density function Heatmap showing a Multivariate (bivariate) stable distribution with α = 1.1 parameters: exponent shift/location vector …   Wikipedia

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