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correlated errors

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  • Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… …   Wikipedia

  • Hat matrix — In statistics, the hat matrix, H, maps the vector of observed values to the vector of fitted values. It describes the influence each observed value has on each fitted value.[1] The diagonal elements of the hat matrix are the leverages, which… …   Wikipedia

  • Seemingly unrelated regression — In econometrics, seemingly unrelated regression (SUR), model developedby Arnold Zellner and first published in Zellner (1962), is a technique for analyzing a system of multiple equations with cross equation parameter restrictions and correlated… …   Wikipedia

  • Noise shaping — is a technique typically used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit depth reduction of a digital signal. Its purpose is to increase the apparent signal… …   Wikipedia

  • Анатольев — Анатольев, Станислав Анатольевич Станислав Анатольевич Анатольев Дата рождения: 19 сентября Гражданство:  Российская Федерация Научная сфера …   Википедия

  • Анатольев, Станислав Анатольевич — Станислав Анатольевич Анатольев Дата рождения: 19 сентября Страна …   Википедия

  • Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …   Wikipedia

  • Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …   Wikipedia

  • Determination of equilibrium constants — Equilibrium constants are determined in order to quantify chemical equilibria. When an equilibrium constant is expressed as a concentration quotient, it is implied that the activity quotient is constant. In order for this assumption to be valid… …   Wikipedia

  • Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …   Wikipedia

  • Propagation of uncertainty — In statistics, propagation of uncertainty (or propagation of error) is the effect of variables uncertainties (or errors) on the uncertainty of a function based on them. When the variables are the values of experimental measurements they have… …   Wikipedia

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