"The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point(linked to: Central_tendency).
It is a summary statistic(linked to: Summary_statistics) of statistical dispersion(linked to: Statistical_dispersion)
or variability(not linked; variability Variability variability variability variability variability variability).
In the general form, the central point can be a mean, median, mode, or the result of any other measure of central_tendency or any reference value related to the given data set. AAD includes the mean absolute deviation and the median absolute deviation{ } (both abbreviated as MAD)."

Cmp:
("For arbitrary differences (not around a central point), see Mean absolute difference.")
mean_absolute_difference =,mean_absolute_difference . mean_absolute_difference
mean_absolute_difference
https://en.wikipedia.org/wiki/Mean_absolute_difference
("For paired differences (also known as mean absolute deviation), see Mean absolute error.")
mean_absolute_error =,mean_absolute_error . mean_absolute_error
mean_absolute_error
https://en.wikipedia.org/wiki/Mean_absolute_error

"평균절대편차(average_absolute_deviation AAD 또는 mean_absolute_deviation MAD ) 또는 평균편차(mean_deviation) 또는 절대편차(absolute_deviation)는 산포도 { 산포도 }의 하나로, 평균과 개별 관측치 사이 거리의 평균이다. 각 측정치에서 전체 평균 값을 뺀 값의 절댓값으로 표시되는 편차들의 합에서(?) 산술평균,arithmetic_mean을 말한다. 매우 크거나 작은 어느 하나의 값인 이상치(outlier로 인한 문제점을 보완할 수 있는 방법으로 사용되고 있다. 평균편차에는 모집단 평균편차와 표본 평균편차 두 가지 종류가 있다."

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