- explained variance
- мат. объяснимая дисперсия
Большой англо-русский и русско-английский словарь. 2001.
explained variance
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Explained variation — In statistics, explained variation or explained randomness measures the proportion to which a mathematical model accounts for the variation (= apparent randomness) of a given data set. Often, variation is quantified as variance; then, the more… … Wikipedia
Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… … Wikipedia
Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… … Wikipedia
Law of total variance — In probability theory, the law of total variance or variance decomposition formula states that if X and Y are random variables on the same probability space, and the variance of X is finite, then:operatorname{var}(X)=operatorname{E}(operatorname{v… … Wikipedia
Fraction of variance unexplained — In statistics, the fraction of variance unexplained (or FVU) in the context of a regression task is the amount of variance of the regressand Y which cannot be explained, i.e., which is not correctly predicted, by the explanatory variable X .For a … Wikipedia
Intelligence quotient — IQ redirects here. For other uses, see IQ (disambiguation). Intelligence quotient Diagnostics An example of one kind of IQ test item, modeled after items in the Raven s Progressive Matrices test … Wikipedia
Coefficient of determination — In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set… … Wikipedia
Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain … Wikipedia
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
Omnibus test — Omnibus tests are a kind of statistical test. They test whether the explained variance in a set of data is significantly greater than the unexplained variance, overall. One example is the F test in the analysis of variance. There can be… … Wikipedia
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