Explore: Least Absolute Deviations (statistics)

Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical

a set of deviations, such as the standard deviation and the mean absolute deviation, measures of dispersion, and the mean signed deviation, a measure

In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer

The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical

F_{Y|X}(a)=0.5.} Least absolute deviations Taxicab geometry Mean absolute percentage error Mean percentage error Symmetric mean absolute percentage error

distance generalizing number of standard deviations to the mean Mean absolute error Median absolute deviation Pooled variance Propagation of uncertainty

absolute deviation is the average of the absolute deviations of a collection of samples, and least absolute deviations is a method for robust statistics based

this case, the errors are the deviations of the observations from the population mean, while the residuals are the deviations of the observations from the

The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting

Squared deviations from the mean (SDM) result from squaring deviations. In probability theory and statistics, the definition of variance is either the