- pseudo-linear regression
- Техника: псевдолинейная регрессия
Универсальный англо-русский словарь. Академик.ру. 2011.
Универсальный англо-русский словарь. Академик.ру. 2011.
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