<s>
GAUSS	B-Algorithm
is	O
a	O
matrix	O
programming	O
language	O
for	O
mathematics	O
and	O
statistics	O
,	O
developed	O
and	O
marketed	O
by	O
Aptech	O
Systems	O
.	O
</s>
<s>
Its	O
primary	O
purpose	O
is	O
the	O
solution	O
of	O
numerical	O
problems	O
in	O
statistics	O
,	O
econometrics	O
,	O
time-series	O
,	O
optimization	O
and	O
2D	O
-	O
and	O
3D-visualization	O
.	O
</s>
<s>
It	O
was	O
first	O
published	O
in	O
1984	O
for	O
MS-DOS	B-Application
and	O
is	O
available	O
for	O
Linux	B-Application
,	O
macOS	B-Application
and	O
Windows	B-Application
.	O
</s>
<s>
A	O
range	O
of	O
toolboxes	O
are	O
available	O
for	O
GAUSS	B-Algorithm
at	O
additional	O
cost	O
.	O
</s>
<s>
+ToolboxesToolbox	O
DescriptionAlgorithmic	O
Derivatives	O
A	O
program	O
for	O
generating	O
GAUSS	B-Algorithm
procedures	O
for	O
computing	O
algorithmic	O
derivatives.Constrained	O
Maximum	O
Likelihood	O
MT	O
Solves	O
the	O
general	O
maximum	O
likelihood	O
problem	O
subject	O
to	O
general	O
constraints	O
on	O
the	O
parameters.Constrained	O
Optimization	O
Solves	O
the	O
nonlinear	B-Algorithm
programming	I-Algorithm
problem	O
subject	O
to	O
general	O
constraints	O
on	O
the	O
parameters.CurveFit	O
Nonlinear	O
curve	O
fitting.Descriptive	O
Statistics	O
Basic	O
sample	O
statistics	O
including	O
means	O
,	O
frequencies	O
and	O
crosstabs	B-Application
.	O
</s>
<s>
This	O
application	O
is	O
backwards	O
compatible	O
with	O
programs	O
written	O
with	O
Descriptive	O
Statistics	O
3.1.Descriptive	O
Statistics	O
MT	O
Basic	O
sample	O
statistics	O
including	O
means	O
,	O
frequencies	O
and	O
crosstabs	B-Application
.	O
</s>
<s>
This	O
application	O
is	O
thread-safe	O
and	O
takes	O
advantage	O
of	O
structures.Discrete	O
Choice	O
A	O
statistical	O
package	O
for	O
estimating	O
discrete	O
choice	O
and	O
other	O
models	O
in	O
which	O
the	O
dependent	O
variable	O
is	O
qualitative	O
in	O
some	O
way.FANPAC	O
MT	O
Comprehensive	O
suite	O
of	O
GARCH	O
(	O
Generalized	O
AutoRegressive	O
Conditional	O
Heteroskedastic	O
)	O
models	O
for	O
estimating	O
volatility.Linear	O
Programming	O
MT	O
Solves	O
small	O
and	O
large	O
scale	O
linear	B-Algorithm
programming	I-Algorithm
problems.Linear	O
Regression	O
MT	O
Least	B-Algorithm
squares	I-Algorithm
estimation.Loglinear	O
Analysis	O
MT	O
Analysis	O
of	O
categorical	O
data	O
using	O
log-linear	O
analysis.Maximum	O
Likelihood	O
MT	O
Maximum	O
likelihood	O
estimation	O
of	O
the	O
parameters	O
of	O
statistical	O
models.Nonlinear	O
Equations	O
MT	O
Solves	O
systems	O
of	O
nonlinear	O
equations	O
having	O
as	O
many	O
equations	O
as	O
unknowns.Optimization	O
Unconstrained	O
optimization.Time	O
Series	O
MT	O
Exact	O
ML	O
estimation	O
of	O
VARMAX	O
,	O
VARMA	O
,	O
ARIMAX	O
,	O
ARIMA	O
,	O
and	O
ECM	O
models	O
subject	O
to	O
general	O
constraints	O
on	O
the	O
parameters	O
.	O
</s>
<s>
Cointegration	O
and	O
unit	B-General_Concept
root	I-General_Concept
tests	I-General_Concept
.	O
</s>
