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ellipsoid of regression

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  • Confidence region — In statistics, a confidence region is a multi dimensional generalization of a confidence interval. It is a set of points in an n dimensional space, often represented as an ellipsoid around a point which is an estimated solution to a problem,… …   Wikipedia

  • Mahalanobis distance — In statistics, Mahalanobis distance is a distance measure introduced by P. C. Mahalanobis in 1936.[1] It is based on correlations between variables by which different patterns can be identified and analyzed. It gauges similarity of an unknown… …   Wikipedia

  • Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… …   Wikipedia

  • Cook's distance — In statistics, Cook s distance is a commonly used estimate of the influence of a data point when doing least squares regression analysis. In a practical ordinary least squares analysis, Cook s distance can be used in several ways: to indicate… …   Wikipedia

  • Moment (mathematics) — Second moment redirects here. For the technique in probability theory, see Second moment method. See also: Moment (physics) Increasing each of the first four moments in turn while keeping the others constant, for a discrete uniform distribution… …   Wikipedia

  • Lens (anatomy) — Crystalline lens (anatomy) Light from a single point of a distant object and light from a single point of a near object being brought to a focus by changing the curvature of the lens …   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

  • Levenberg–Marquardt algorithm — In mathematics and computing, the Levenberg–Marquardt algorithm (LMA)[1] provides a numerical solution to the problem of minimizing a function, generally nonlinear, over a space of parameters of the function. These minimization problems arise… …   Wikipedia

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