File:Standard symmetric pdfs logscale.svg

Summary

Description
English: Logscale plot of several symmetric unimodal probability densities with unit variance. From highest to lowest peak:
 
orange, kurtosis 2, hyperbolic (S)ecant distribution;
 
green, kurtosis 1.2, (L)ogistic distribution;
 
black, kurtosis 0, (N)ormal distribution;
 
cyan, kurtosis 0.593762, raised (C)osine distribution;
 
blue, kurtosis 1, (W)igner semicircle distribution;
 
magenta, kurtosis 1.2, (U)niform distribution.
Date
Source MarkSweep
Author
Vector:
Category:Vectorizations
Permission
(Reusing this file)
Public domain This chart is ineligible for copyright and therefore in the public domain, because it consists entirely of information that is common property and contains no original authorship. For more information, see Commons:Threshold of originality § Charts

العربية | Deutsch | English | español | français | italiano | 日本語 | македонски | română | русский | slovenščina | 中文(简体) | 中文(繁體) | +/−

Category:PD chart#Standard%20symmetric%20pdfs%20logscale.svg
I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Category:CC-Zero#Standard%20symmetric%20pdfs%20logscale.svg
Category:Self-published work
Other versions File:Standard symmetric pdfs.svg
File:Standard symmetric pdfs.png
File:Standard symmetric pdfs logscale.png
SVG development
InfoField
Source code
InfoField
Gnuplot code
# Laplace double exponential distribution, kurtosis 3
laplace(x) = exp(-abs(x)*sqrt(2)) * sqrt(0.5)

# sech distribution, kurtosis 2
sech(x) = 2.0 / (exp(x) + exp(-x))
sech_pdf(x) = 0.5 * sech(0.5*pi*x)

# logistic distribution, kurtosis 1.2
slogist = sqrt(3) / pi
logist(x) = exp(-x/slogist) / slogist / (1 + exp(-x/slogist))**2

# normal distribution, kurtosis 0
n(x) = exp(-0.5*x*x) / sqrt(2*pi)

# raised cosine distribution, kurtosis -0.59376
scos = 1.0 / sqrt(1/3.0 - 2/pi**2)
cosine(x) = abs(x)>scos? 0 : (1+cos(x*pi/scos))*0.5/scos

# Wigner semicircle distribution, kurtosis -1
wigner(x) = abs(x)>2? 0 : sqrt(4-x*x)*0.5/pi

# uniform distribution, kurtosis -1.2
uniform(x) = abs(x)>sqrt(3)? 0 : 0.5/sqrt(3)

set samples 6001
set grid

set xrange [-10.4:10.4]

set logscale y
set yrange [1e-24:5]
set ytics 1e3

set key right bottom font ",8" enhanced

set terminal svg size 400,300 enhanced fname 'DejaVu Sans'  fsize 10 butt solid
set output 'Standard symmetric pdfs logscale.svg'

plot \
     laplace(x)  lt 1 lw 2 title "D,  3", \
     sech_pdf(x) lt 8 lw 2 title "S,  2", \
     logist(x)   lt 2 lw 2 title "L,  1.2", \
     n(x)        lt 7 lw 2 title "N,  0", \
     cosine(x)   lt 5 lw 2 title "C, -0.59376", \
     wigner(x)   lt 3 lw 2 title "W, -1", \
     uniform(x)  lt 4 lw 2 title "U, -1.2"
Category:Probability distributions
Category:CC-Zero Category:PD chart Category:Probability distributions Category:Self-published work Category:Valid SVG created with Gnuplot code:Charts Category:Vectorizations