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A Guide to Statistical Software
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"A Guide to Statistical Software
Commercially Available Software
There are three general classes of software available using
several different user interfaces. Statistical software begins to blend in
one direction with relational database software such as Oracle or Sybase
(software we do not discuss here) and with mathematical software such as
MATLAB in the other direction. Mathematical software exhibits not only
statistical capabilities flowing from code for matrix manipulation, but also
optimization and symbolic manipulation useful for statistical purposes.
Finally visualization software overlaps to some extent with software intended
for exploratory data analysis. The user interfaces common range from command
line to graphical user interfaces (GUI) to hybrid drag and drop system
interfaces. We cast our net fairly widely in describing commercial software
because of the general boundary crossing capabilities of the software systems.
The SASŪ System for Statistical Analysis
SAS began as a statistical analysis system in the late 1960's growing out
of a project in the Department of Experimental Statistics at North Carolina
State University. The SAS Institute was founded in 1976. Since that time,
the SAS System has expanded to become an evolving system for complete
data management and analysis. Among the products making up the SAS
System are products for: management of large data bases; statistical analysis
of time series; statistical analysis of most classical statistical problems,
including multivariate analysis, linear models (as well as generalized linear
models), and clustering; data visualization and plotting. A geographic
information system is one of the products available in the system. The SAS
System is available on PC and UNIX based platforms, as well as on mainframe
computers.
One may use the SAS system to conduct simulation studies with random
number generators for many different distributions. Managing "
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