--- a/bibdesk.bib
+++ b/bibdesk.bib
@@ -2,12 +2,27 @@
%% http://bibdesk.sourceforge.net/
-%% Created for Ville Tirronen at 2010-06-15 12:02:38 +0300
+%% Created for Ville Tirronen at 2010-06-17 11:52:18 +0300
%% Saved with string encoding Unicode (UTF-8)
+
+@article{Garcia:2009fk,
+ Author = {Salvador Garc{\'\i}a and Daniel Molina and Manuel Lozano and Francisco Herrera},
+ Date-Added = {2010-06-17 11:49:54 +0300},
+ Date-Modified = {2010-06-17 11:49:54 +0300},
+ Doi = {10.1007/s10732-008-9080-4},
+ Journal = {Journal of Heuristics},
+ Month = {December},
+ Number = {6},
+ Pages = {617-644},
+ Title = {A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization},
+ Volume = {15},
+ Year = {2009},
+ Bdsk-Url-1 = {http://www.springerlink.com/content/h53270p4kr6891h3/fulltext.pdf},
+ Bdsk-Url-2 = {http://dx.doi.org/10.1007/s10732-008-9080-4}}
@article{fan2003trigonometric,
Author = {Fan, H.Y. and Lampinen, J.},
--- a/histograms.tex
+++ b/histograms.tex
@@ -146,7 +146,7 @@
for comparing dense sets of numbers. This visualization technique fits
very well to task of comparing optimization algorithms, as it allows
to present all the results of repeated experiments at the same time. This
-technique has been used in, for example, \cite{fan2003trigonometric}.
+technique has been used in, for example, articles \cite{Garcia:2009fk,fan2003trigonometric}.
The use of histograms conveys more data than a single statistical number, is
easily readable, and easily satisfies the constraints 1 and 3 presented in the
introduction.
@@ -362,7 +362,8 @@
are normally distributed, one can apply Student's t-test to determine, with a
given threshold probability, if the results of $A$ and $B$ are significantly
different. This is however usually not the case, as explained in
-Section~\ref{s:shortcomings}. Even non-parametric test such as the
+Section~\ref{s:shortcomings} as well as in a thorough study in~\cite{Garcia:2009fk}.
+Even non-parametric test such as the
\emph{Mann-Whitney U test} (also known as the \emph{Wilcoxon rank-sum test})
\cite{mann1947test} cannot be applied to the two samples since, although this
test does not assume that the two samples are drawn from any particular