File:Lognormal distribution CDF.svg

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Original file(SVG file, nominally 1,024 × 768 pixels, file size: 18 KB)

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This file has been superseded by CDF-log normal distributions.svg. It is recommended to use the other file. Please note that deleting superseded images requires consent.
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Summary[edit]

Description
set term svg size 1024,768
set key Left top left reverse
set xtics auto nomirror
set ytics auto nomirror
set mxtics 10
set mytics 10
set border 3
cdf(x,sigma,mu)=(1 + erf(log(x-mu) / sqrt(2*sigma**2)))/2.0

set output "/tmp/Lognormal distribution CDF.svg"
set key Left top left reverse
plot [0:3] [0:1] 
	(cdf(x,10,0)) title "σ=10", 
	(cdf(x,3.0/2,0)) title "σ=3/2", 
	(cdf(x,1.0,0)) title "σ=1", 
	(cdf(x,1.0/2,0)) title "σ=1/2", 
	(cdf(x,1.0/4,0)) title "σ=1/4", 
	(cdf(x,1.0/8,0)) title "σ=1/8" 
Date
Source Own work based on: Lognormal distribution CDF.png by PAR
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Licensing[edit]

I, the copyright holder of this work, hereby publish it under the following licenses:
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attribution share alike
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This licensing tag was added to this file as part of the GFDL licensing update.
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
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Original upload log[edit]

This image is a derivative work of the following images:

  • Lognormal distribution CDF.png licensed with Cc-by-sa-3.0-migrated, GFDL
    • 2005-05-03T04:49:47Z PAR 1300x975 (179020 Bytes) Cumulative distribution function for the log-normal distribution

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Date/TimeThumbnailDimensionsUserComment
current18:12, 26 June 2010Thumbnail for version as of 18:12, 26 June 20101,024 × 768 (18 KB)Autopilot (talk | contribs){{Information |Description=<pre> set term svg size 1024,768 set key Left top left reverse set xtics auto nomirror set ytics auto nomirror set mxtics 10 set mytics 10 set border 3 cdf(x,sigma,mu)=(1 + erf(log(x-mu) / sqrt(2*sigma**2)))/2.0 set output "/t

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