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authorSylvestre Ledru <sylvestre.ledru@scilab.org>2009-02-17 15:03:54 +0100
committerSylvestre Ledru <sylvestre.ledru@scilab.org>2009-02-17 15:03:54 +0100
commitb94d0be9daba717bcd642cac91bae0812a7f055c (patch)
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1\chapter{Introduction} 1\chapter{Introduction}
2 2
3As stated in \cite{scilabstats2001}, Scilab's core provide 3As stated in \cite{scilabstats2001}, Scilab's core provides
4a complete set of features related to simulation and statistical 4a complete set of features related to simulation and statistical
5computations. 5computations.
6Indeed, Scilab provide uniform pseudo-random number generators, functions to 6Indeed, Scilab provides uniform pseudo-random number generators, functions to
7compute the moments of a distribution and a complete set of 7compute the moments of a distribution and a complete set of
8distributions. In this document, we will make a complete 8distributions. In this document, we will make a complete
9overview on these features. 9overview on these features.
@@ -21,7 +21,7 @@ tools, such as Matlab, R, or Octave.
21\section{A sample session} 21\section{A sample session}
22 22
23A good introduction on the statistical features of Scilab is \cite{scilabintro2007}. 23A good introduction on the statistical features of Scilab is \cite{scilabintro2007}.
24In the remaining of this introductin chapter, we will try to have 24In the remaining of this introduction chapter, we will try to have
25a flavour of how to perform statistical computations with Scilab. 25a flavour of how to perform statistical computations with Scilab.
26We focus on the algorithms which are used inside Scilab, to show what 26We focus on the algorithms which are used inside Scilab, to show what
27exact algorithms perform the computations. 27exact algorithms perform the computations.