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Mean Square Model Error

См. также в других словарях:

  • Root-mean-square deviation — For the application of root mean square deviation to bioinformatics, see Root mean square deviation (bioinformatics). The root mean square deviation (RMSD) or root mean square error (RMSE) is a frequently used measure of the differences between… …   Wikipedia

  • Root mean square deviation — The root mean square deviation (RMSD) ( also root mean square error (RMSE) ) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or… …   Wikipedia

  • Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …   Wikipedia

  • Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… …   Wikipedia

  • Mean — This article is about the statistical concept. For other uses, see Mean (disambiguation). In statistics, mean has two related meanings: the arithmetic mean (and is distinguished from the geometric mean or harmonic mean). the expected value of a… …   Wikipedia

  • Mean and predicted response — In linear regression mean response and predicted response are values of the dependent variable calculated from the regression parameters and a given value of the independent variable. The values of these two responses are the same, but their… …   Wikipedia

  • Standard error (statistics) — For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value. The standard error is the standard… …   Wikipedia

  • Random effects model — In statistics, a random effect(s) model, also called a variance components model is a kind of hierarchical linear model. It assumes that the data describe a hierarchy of different populations whose differences are constrained by the hierarchy. In …   Wikipedia

  • MSME — Mean Square Model Error (Academic & Science » Mathematics) …   Abbreviations dictionary

  • Graeco-Latin square — Orthogonal Latin squares of order 3 Orthogonal Latin squares of order 5 In mathematics, a Graeco Latin square or Euler square or orthogonal Latin squares of order n over two …   Wikipedia

  • Chi-square test — is often shorthand for Pearson s chi square test. A chi square test (also chi squared or chi^2 test) is any statistical hypothesis test in which the test statistic has a chi square distribution when the null hypothesis is true, or any in which… …   Wikipedia

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