heteroscedastic regression

heteroscedastic regression
гетероскедастическая регрессия

The English-Russian dictionary on reliability and quality control. 2015.

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  • Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …   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

  • Dummy variable (statistics) — In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to …   Wikipedia

  • Homoscedasticity — Plot with random data showing homoscedasticity. In statistics, a sequence or a vector of random variables is homoscedastic (   …   Wikipedia

  • Heteroscedasticity — In statistics, a sequence or a vector of random variables is heteroskedastic, or heteroscedastic, if the random variables have different variances. The complementary concept is called homoskedasticity. The term means differing variance and comes… …   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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