standard deviation of errors

  • 31Statistical dispersion — In statistics, statistical dispersion (also called statistical variability or variation) is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard… …

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  • 32Propagation of uncertainty — In statistics, propagation of uncertainty (or propagation of error) is the effect of variables uncertainties (or errors) on the uncertainty of a function based on them. When the variables are the values of experimental measurements they have… …

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  • 33Data Validation and Reconciliation — Industrial process data validation and reconciliation or short data validation and reconciliation (DVR) is a technology which is using process information and mathematical methods in order to automatically correct measurements in industrial… …

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  • 34Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …

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  • 35Studentized residual — In statistics, a studentized residual, named in honor of William Sealey Gosset, who wrote under the pseudonym Student , is a residual adjusted by dividing it by an estimate of its standard deviation. Studentization of residuals is an important… …

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  • 36Uncertainty — For the film of the same name, see Uncertainty (film). Certainty series Agnosticism Belief Certainty Doubt Determinism Epistemology …

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  • 37Quantitative marketing research — is the application of quantitative research techniques to the field of marketing. It has roots in both the positivist view of the world, and the modern marketing viewpoint that marketing is an interactive process in which both the buyer and… …

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  • 38Mean 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,… …

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  • 39Principal 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… …

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  • 40Analysis 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… …

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