Theory of probability distributions | Scale statistics | Summary statistics | Statistical deviation and dispersion | Distance

Mean absolute difference

The mean absolute difference (univariate) is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn from a probability distribution. A related statistic is the , which is the mean absolute difference divided by the arithmetic mean, and equal to twice the Gini coefficient.The mean absolute difference is also known as the absolute mean difference (not to be confused with the absolute value of the mean signed difference) and the Gini mean difference (GMD). The mean absolute difference is sometimes denoted by Δ or as MD. (Wikipedia).

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Related pages

Absolute value | Gamma distribution | Statistical dispersion | Probability density function | Cumulative distribution function | Exponential distribution | Quantile function | Estimator | Independent and identically distributed random variables | Mean absolute error | Pareto distribution | L-moment | Student's t-distribution | Law of total expectation | Probability distribution | Normal distribution | Standard deviation | Arithmetic mean | Beta function | Degrees of freedom (statistics) | Expected value | Absolute difference | Lorenz curve | Bernoulli distribution | Coefficient of variation