File:Burr pdf.svg
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Original file (SVG file, nominally 639 × 495 pixels, file size: 73 KB)
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Summary
| Description | A plot of the probability density function of the Burr distribution. |
| Date | |
| Source | Self-made using python with numpy and matplotlib. Based on the non-vectorized image File:Burr pdf.png. |
| Author | user:Arthena |
Python Code
from matplotlib.pyplot import *
from numpy import linspace
def calc_burr_pdf(x,c,k):
y = c*k*x**(c-1)/(1+x**c)**(k+1);
return y
x = linspace(0,3,10**5)
fig = figure()
ax = fig.add_subplot(111)
ax.plot(x,calc_burr_pdf(x,1,1),label='$c=1;$ $k=1$', linewidth=2)
ax.plot(x,calc_burr_pdf(x,1,2),label='$c=1;$ $k=2$', linewidth=2)
ax.plot(x,calc_burr_pdf(x,1,3),label='$c=1;$ $k=3$', linewidth=2)
ax.plot(x,calc_burr_pdf(x,2,1),label='$c=2;$ $k=1$', linewidth=2)
ax.plot(x,calc_burr_pdf(x,3,1),label='$c=3;$ $k=1$', linewidth=2)
ax.plot(x,calc_burr_pdf(x,0.5,2),label='$c=0.5;$ $k=2$', linewidth=2)
ax.grid(True)
ax.minorticks_on()
ax.legend(loc=1)
ax.set_xlim(0,3)
ax.set_ylim(0,2)
ax.set_xlabel("x")
ax.set_ylabel("PDF")
fig.savefig("Burr_pdf.svg",bbox_inches="tight",\
pad_inches=.15)
Licensing
I, the copyright holder of this work, hereby publish it under the following licenses:
|
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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- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 18:15, 9 July 2011 | | 639 × 495 (73 KB) | Arthena | == Summary == {{Information |Description= A plot of the probability density function of the Burr distribution. |Source= Self-made using python with numpy and matplotlib. Based on the non-vecto |
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