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There is a page named "Covariance group" on Wikipedia
- In physics, a covariance group is a group of coordinate transformations between frames of reference (see for example Ryckman (2005)). A frame of reference...3 KB (311 words) - 02:01, 25 July 2023
- Covariance in probability theory and statistics is a measure of the joint variability of two random variables. The sign of the covariance, therefore,...29 KB (4,693 words) - 08:43, 18 June 2024
- and statistics, a covariance matrix (also known as auto-covariance matrix, dispersion matrix, variance matrix, or variance–covariance matrix) is a square...34 KB (5,418 words) - 23:44, 30 May 2024
- The Poincaré group, named after Henri Poincaré (1906), was first defined by Hermann Minkowski (1908) as the isometry group of Minkowski spacetime. It...15 KB (2,165 words) - 19:11, 14 May 2024
- Analysis of covariance (ANCOVA) is a general linear model that blends ANOVA and regression. ANCOVA evaluates whether the means of a dependent variable...10 KB (1,357 words) - 06:43, 20 December 2023
- group of coordinate transformations between admissible frames of reference of the physical theory. This group is referred to as the covariance group....4 KB (471 words) - 01:47, 13 March 2024
- In theoretical physics, general covariance, also known as diffeomorphism covariance or general invariance, consists of the invariance of the form of physical...6 KB (657 words) - 00:01, 23 May 2024
- statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals...25 KB (3,930 words) - 18:26, 13 June 2024
- through space". Lorentz covariance, a related concept, is a property of the underlying spacetime manifold. Lorentz covariance has two distinct, but closely...21 KB (2,917 words) - 02:30, 14 May 2024
- together, and may refer to: Covariance matrix, a matrix of covariances between a number of variables Covariance or cross-covariance between two random variables...2 KB (285 words) - 12:08, 16 November 2019
- Multivariate analysis of covariance (MANCOVA) is an extension of analysis of covariance (ANCOVA) methods to cover cases where there is more than one dependent...7 KB (930 words) - 12:27, 4 August 2023
- the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such...57 KB (8,223 words) - 04:15, 2 June 2024
- Principal component analysis (section Covariances)eigenvectors of the data's covariance matrix. Thus, the principal components are often computed by eigendecomposition of the data covariance matrix or singular...114 KB (14,283 words) - 16:28, 14 June 2024
- Gene–environment correlation (redirect from GE-covariance)discipline or warmth, are moderately heritable. Television viewing, peer group orientations and social attitudes have all been shown to be moderately heritable...13 KB (1,669 words) - 09:09, 5 January 2024
- Functor (redirect from Covariance and contravariance of functors)vectors in general are covariant since they can be pushed forward. See also Covariance and contravariance of vectors. Every functor F : C → D {\displaystyle...24 KB (3,336 words) - 07:27, 6 June 2024
- that the class covariances are identical, so Σ 0 = Σ 1 = Σ {\displaystyle \Sigma _{0}=\Sigma _{1}=\Sigma } ) and that the covariances have full rank....46 KB (5,950 words) - 07:10, 23 May 2024
- representations of the general covariance group. However, there are of course spinorial representations of the Lorentz group. This fact is utilized by employing...15 KB (2,949 words) - 01:17, 12 February 2024
- average value. It is the second central moment of a distribution, and the covariance of the random variable with itself, and it is often represented by σ 2...57 KB (10,006 words) - 05:28, 11 June 2024
- to the value of x {\displaystyle x} . More generally, if the variance-covariance matrix of disturbance ε i {\displaystyle \varepsilon _{i}} across i {\displaystyle...27 KB (3,191 words) - 15:51, 29 May 2024
- Autocorrelation (redirect from Serial covariance)well defined. Subtracting the mean before multiplication yields the auto-covariance function between times t 1 {\displaystyle t_{1}} and t 2 {\displaystyle...39 KB (5,526 words) - 08:04, 28 April 2024
- available ephemerides beyond two-line-elements (TLEs) in order to include covariances and other useful information. The application noted in Recommendation
- nonlinear differential equation of the Riccati type is derived for the covariance matrix of the optimal filtering error. The solution of this 'variance
- spike-triggered covariance, one can often recover the characteristics of the features important to the neuron. Spike-triggered covariance analysis is related