Introduces the structure and function of PP (Stablized Probability Plot) and QQ (Quantile-Quantile Plot), and uses MATLAB to produce two sets of exponential distribution and normal distribution. The sample number is 20 and 45 respectively. The fitting of QQ plot and PP plot are respectively used to obtain the superiority of PP in the exponential distribution. In normal distribution, the QQ plot is more advantageous.
| Published in | American Journal of Applied Mathematics (Volume 4, Issue 2) |
| DOI | 10.11648/j.ajam.20160402.17 |
| Page(s) | 110-113 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
QQ Plot, PP Plot, Goodness-of-Fit Test, Life Distribution
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APA Style
Hu Yue, Yu Jin-yang. (2016). Quantile-Quantile Plot Compared with Stablized Probability Plot in Figure on the Distribution of the Test Research. American Journal of Applied Mathematics, 4(2), 110-113. https://doi.org/10.11648/j.ajam.20160402.17
ACS Style
Hu Yue; Yu Jin-yang. Quantile-Quantile Plot Compared with Stablized Probability Plot in Figure on the Distribution of the Test Research. Am. J. Appl. Math. 2016, 4(2), 110-113. doi: 10.11648/j.ajam.20160402.17
AMA Style
Hu Yue, Yu Jin-yang. Quantile-Quantile Plot Compared with Stablized Probability Plot in Figure on the Distribution of the Test Research. Am J Appl Math. 2016;4(2):110-113. doi: 10.11648/j.ajam.20160402.17
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Download@article{10.11648/j.ajam.20160402.17,
author = {Hu Yue and Yu Jin-yang},
title = {Quantile-Quantile Plot Compared with Stablized Probability Plot in Figure on the Distribution of the Test Research},
journal = {American Journal of Applied Mathematics},
volume = {4},
number = {2},
pages = {110-113},
doi = {10.11648/j.ajam.20160402.17},
url = {https://doi.org/10.11648/j.ajam.20160402.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20160402.17},
abstract = {Introduces the structure and function of PP (Stablized Probability Plot) and QQ (Quantile-Quantile Plot), and uses MATLAB to produce two sets of exponential distribution and normal distribution. The sample number is 20 and 45 respectively. The fitting of QQ plot and PP plot are respectively used to obtain the superiority of PP in the exponential distribution. In normal distribution, the QQ plot is more advantageous.},
year = {2016}
}
TY - JOUR T1 - Quantile-Quantile Plot Compared with Stablized Probability Plot in Figure on the Distribution of the Test Research AU - Hu Yue AU - Yu Jin-yang Y1 - 2016/04/19 PY - 2016 N1 - https://doi.org/10.11648/j.ajam.20160402.17 DO - 10.11648/j.ajam.20160402.17 T2 - American Journal of Applied Mathematics JF - American Journal of Applied Mathematics JO - American Journal of Applied Mathematics SP - 110 EP - 113 PB - Science Publishing Group SN - 2330-006X UR - https://doi.org/10.11648/j.ajam.20160402.17 AB - Introduces the structure and function of PP (Stablized Probability Plot) and QQ (Quantile-Quantile Plot), and uses MATLAB to produce two sets of exponential distribution and normal distribution. The sample number is 20 and 45 respectively. The fitting of QQ plot and PP plot are respectively used to obtain the superiority of PP in the exponential distribution. In normal distribution, the QQ plot is more advantageous. VL - 4 IS - 2 ER -
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