Analyse
statistique
Le package d'analyse statistique supporte une large gamme
de taches
statistiques communes, tel que l'analyse quantitative et
graphique de
données, la manipulation symbolique de variables
aléatoires, la simulation
et l'ajustement de courbes.
Features include:
- Over 35 continuous
and discrete probability distributions,
as well as tools for creating new
distributions.
- Tools for creating
and manipulating random variables
as well as functions for computing
their densities, moments, generating
functions, and other quantities.
- A wide range
of functions for computing descriptive
statistics. This includes location,
dispersion and shape statistics,
moments and cumulants, as well as
several data summary and tabulation
commands.
- Statistical plots
including box plots, bar charts,
histograms, probability plots, and
scatter plots.
- Optimized algorithms
for simulating all supported distributions,
as well as tools for creating custom
random number generators, and parametric
and non-parametric bootstrapping.
- Tools for fitting
linear and nonlinear models to data
points and performing regression
analysis.
- Tools for manipulating
likelihood functions, maximum likelihood
estimation, kernel density estimation,
and bootstrapping.
- Tools for manipulating
statistical data such as data smoothing
functions for moving averages, exponential
smoothing, and linear filters.
- Common tools
for performing hypothesis testing
and inference, including several
parametric and non-parametric tests.
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