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Papers received as of Sun Dec  1 00:01:54 CST 2002.
(To retrieve abstracts without full papers, use e.g.    get 0212001.abs )
 get 9404003 95011002.abs 9303001  , e.g., returns multiple papers.

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Paper: ewp-prog/0212001
From: cdridi@uiuc.edu
Date: Sun, 29 Dec 2002 03:19:42 -0600   ( 0kb + 3kb )

Title: Computer code for: A Short Note on the Numerical Approximation of
the Standard Normal Cumulative Distribution and Its Inverse
Author: Chokri Dridi (Department of Agriculture & Consumer Economics, &
Regional Economics Applications Laboratory, University of Illinois at
Urbana-Champaign)
Contact: cdridi@uiuc.edu
Comments: Type of Document - AINSI-C/Python. Content: (cdf.c)->Is ANSI-C
code to compute the cdf of standard normal dist. using a composite
fifth-order Gauss-Legendre quadrature (cdf-GL.py)->same as cdf.c except
the code is written in Python (cdf.py)->Python code to compute the cdf
using rational fraction approximations (invcdf.py)->Python code to
compute the inverse cdf using rational fraction approximations
Keywords: ANSI-C Python
JEL: C63 C88 C89
EWPA-references: wpa-wuwpur/0210001
Report-no: cdfinv
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