Difference between revisions of "Gini average difference"
From Encyclopedia of Mathematics
(Importing text file) |
Ulf Rehmann (talk | contribs) m (tex encoded by computer) |
||
Line 1: | Line 1: | ||
− | A | + | <!-- |
+ | g0444301.png | ||
+ | $#A+1 = 6 n = 0 | ||
+ | $#C+1 = 6 : ~/encyclopedia/old_files/data/G044/G.0404430 Gini average difference | ||
+ | Automatically converted into TeX, above some diagnostics. | ||
+ | Please remove this comment and the {{TEX|auto}} line below, | ||
+ | if TeX found to be correct. | ||
+ | --> | ||
− | + | {{TEX|auto}} | |
+ | {{TEX|done}} | ||
− | + | A magnitude characterizing the [[Dispersion|dispersion]] of the values of a random variable $ X $. | |
+ | It was introduced by C. Gini in 1912 and is defined by the formula | ||
− | + | $$ | |
+ | \Delta = \int\limits _ {- \infty } ^ \infty \int\limits _ {- \infty } ^ \infty | ||
+ | | x - y | dF ( x) dF ( y) , | ||
+ | $$ | ||
− | where | + | where $ F ( \cdot ) $ |
+ | is the distribution function of the random variable. Another variable which is also occasionally considered is the Gini dispersion coefficient | ||
+ | |||
+ | $$ | ||
+ | G = | ||
+ | \frac \Delta {2 \mu } | ||
+ | , | ||
+ | $$ | ||
+ | |||
+ | where $ \mu $ | ||
+ | is the [[Mathematical expectation|mathematical expectation]] of the random variable $ X $. | ||
====References==== | ====References==== | ||
<table><TR><TD valign="top">[1]</TD> <TD valign="top"> M.G. Kendall, A. Stuart, "The advanced theory of statistics. Distribution theory" , '''3. Design and analysis''' , Griffin (1969)</TD></TR></table> | <table><TR><TD valign="top">[1]</TD> <TD valign="top"> M.G. Kendall, A. Stuart, "The advanced theory of statistics. Distribution theory" , '''3. Design and analysis''' , Griffin (1969)</TD></TR></table> |
Latest revision as of 19:42, 5 June 2020
A magnitude characterizing the dispersion of the values of a random variable $ X $.
It was introduced by C. Gini in 1912 and is defined by the formula
$$ \Delta = \int\limits _ {- \infty } ^ \infty \int\limits _ {- \infty } ^ \infty | x - y | dF ( x) dF ( y) , $$
where $ F ( \cdot ) $ is the distribution function of the random variable. Another variable which is also occasionally considered is the Gini dispersion coefficient
$$ G = \frac \Delta {2 \mu } , $$
where $ \mu $ is the mathematical expectation of the random variable $ X $.
References
[1] | M.G. Kendall, A. Stuart, "The advanced theory of statistics. Distribution theory" , 3. Design and analysis , Griffin (1969) |
How to Cite This Entry:
Gini average difference. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Gini_average_difference&oldid=13742
Gini average difference. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Gini_average_difference&oldid=13742
This article was adapted from an original article by K.P. Latyshev (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article