<s>
In	O
statistics	O
,	O
an	O
optimality	B-General_Concept
criterion	I-General_Concept
provides	O
a	O
measure	O
of	O
the	O
fit	O
of	O
the	O
data	O
to	O
a	O
given	O
hypothesis	O
,	O
to	O
aid	O
in	O
model	O
selection	O
.	O
</s>
<s>
For	O
example	O
,	O
in	O
order	O
to	O
determine	O
the	O
best	O
topology	O
between	O
two	O
phylogenetic	O
trees	O
using	O
the	O
maximum	O
likelihood	O
optimality	B-General_Concept
criterion	I-General_Concept
,	O
one	O
would	O
calculate	O
the	O
maximum	O
likelihood	O
score	O
of	O
each	O
tree	O
and	O
choose	O
the	O
one	O
that	O
had	O
the	O
better	O
score	O
.	O
</s>
<s>
However	O
,	O
different	O
optimality	B-General_Concept
criteria	I-General_Concept
can	O
select	O
different	O
hypotheses	O
.	O
</s>
<s>
Optimality	B-General_Concept
criteria	I-General_Concept
include	O
maximum	O
likelihood	O
,	O
Bayesian	O
,	O
maximum	O
parsimony	O
,	O
sum	B-Algorithm
of	I-Algorithm
squared	I-Algorithm
residuals	I-Algorithm
,	O
least	B-General_Concept
absolute	I-General_Concept
deviations	I-General_Concept
,	O
and	O
many	O
others	O
.	O
</s>
