pseudo-linear regression

pseudo-linear regression
Техника: псевдолинейная регрессия

Универсальный англо-русский словарь. . 2011.

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  • 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

  • Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …   Wikipedia

  • Pseudo-Bestimmtheitsmaß — Im Falle einer linearen Regression beschreibt das Bestimmtheitsmaß den erklärten Anteil der Variabilität (Varianz) einer abhängigen Variablen Y durch ein statistisches Modell. Bei einem nominalen oder ordinalen Skalenniveau von Y existiert jedoch …   Deutsch Wikipedia

  • Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …   Wikipedia

  • Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation …   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

  • Volterra series — The Volterra series and Volterra theorem was developed in 1887 by Vito Volterra. It is a model for non linear behavior, similar to the Taylor series. It differs from the Taylor series in its ability to capture memory effects. The Taylor series… …   Wikipedia

  • Causality — (but not causation) denotes a necessary relationship between one event (called cause) and another event (called effect) which is the direct consequence (result) of the first. [http://dictionary.reference.com/search?q=Causality x=35 y=25 Random… …   Wikipedia

  • Speech recognition — For the human linguistic concept, see Speech perception. The display of the Speech Recognition screensaver on a PC, in which the character responds to questions, e.g. Where are you? or statements, e.g. Hello. Speech recognition (also known as… …   Wikipedia


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