error dispersion
11Statistical 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… …
12horizontal error — The error in range, deflection, or in radius, which a weapon may be expected to exceed as often as not. Horizontal error of weapons making a nearly vertical approach to the target is described in terms of circular error probable. Horizontal error …
13delivery error — The inaccuracy associated with a given weapon system resulting in a dispersion of shots about the aiming point. See also circular error probable; deviation; dispersion; dispersion error; horizontal error …
14Roadway air dispersion modeling — is the study of air pollutant transport from a roadway or other linear emitter. Computer models are required to conduct this analysis, because of the complex variables involved, including vehicle emissions, vehicle speed, meteorology, and terrain …
15UK Atmospheric Dispersion Modelling Liaison Committee — The UK Atmospheric Dispersion Modelling Liaison Committee (ADMLC) is composed of representatives from UK governmental departments, agencies and research organizations as well as from non governmental organizations and groups. The ADML s purpose… …
16UK Dispersion Modelling Bureau — The UK Dispersion Modelling Bureau is part of the Met Office (originally an abbreviation for Meteorological Office, but now the official name in itself) which is the UK s national weather and meteorological service. The meteorologists in the… …
17Margin of error — This article is about the statistical precision of estimates from sample surveys. For safety margins in engineering, see Factor of safety. For tolerance in engineering, see Tolerance (engineering). Not to be confused with Margin for Error. The… …
18Mean 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,… …
19Mean absolute error — In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes. The mean absolute error is given by As the name suggests, the mean absolute error is an average of the… …
20Mean absolute scaled error — In statistics, the mean absolute scaled error (MASE) is a measure of the accuracy of forecasts . It was proposed in 2006 by Australian statistician Rob Hyndman, who described it as a generally applicable measurement of forecast accuracy without… …
