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Quantile function (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Quantile function" in English language version.

refsWebsite
Global rank English rank
8doi.org
2nd place
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2arxiv.org
69th place
59th place
2web.archive.org
1st place
1st place
2wu.ac.at
low place
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1shufe.edu.cn
low place
low place
1r-project.org
7,871st place
5,225th place
1scipy.org
low place
low place
1semanticscholar.org
11th place
8th place
1jstor.org
26th place
20th place
1online.no
low place
low place

arxiv.org

  • Ehm, W.; Gneiting, T.; Jordan, A.; Krüger, F. (2016). "Of quantiles and expectiles: Consistent scoring functions, Choquet representations, and forecast rankings". J. R. Stat. Soc. B. 78 (3): 505–562. arXiv:1503.08195. doi:10.1111/rssb.12154.
  • Computational Finance: Differential Equations for Monte Carlo Recycling

doi.org

  • Ehm, W.; Gneiting, T.; Jordan, A.; Krüger, F. (2016). "Of quantiles and expectiles: Consistent scoring functions, Choquet representations, and forecast rankings". J. R. Stat. Soc. B. 78 (3): 505–562. arXiv:1503.08195. doi:10.1111/rssb.12154.
  • Hörmann, Wolfgang; Leydold, Josef (2003). "Continuous random variate generation by fast numerical inversion". ACM Transactions on Modeling and Computer Simulation. 13 (4): 347–362. doi:10.1145/945511.945517. Retrieved 17 June 2024 – via WU Vienna.
  • Derflinger, Gerhard; Hörmann, Wolfgang; Leydold, Josef (2010). "Random variate generation by numerical inversion when only the density is known". ACM Transactions on Modeling and Computer Simulation. 20 (4): 1–25. doi:10.1145/1842722.1842723. Art. No. 18.
  • Baumgarten, Christoph; Patel, Tirth (2022). "Automatic random variate generation in Python". Proceedings of the 21st Python in Science Conference. pp. 46–51. doi:10.25080/majora-212e5952-007.
  • Steinbrecher, G.; Shaw, W.T. (2008). "Quantile mechanics". European Journal of Applied Mathematics. 19 (2): 87–112. doi:10.1017/S0956792508007341. S2CID 6899308.
  • Wichura, M.J. (1988). "Algorithm AS241: The Percentage Points of the Normal Distribution". Applied Statistics. 37 (3). Blackwell Publishing: 477–484. doi:10.2307/2347330. JSTOR 2347330.
  • Shaw, W.T. (2006). "Sampling Student's T distribution – Use of the inverse cumulative distribution function". Journal of Computational Finance. 9 (4): 37–73. doi:10.21314/JCF.2006.150.
  • Karvanen, J. (2006). "Estimation of quantile mixtures via L-moments and trimmed L-moments". Computational Statistics & Data Analysis. 51 (2): 947–956. doi:10.1016/j.csda.2005.09.014.

jstor.org

  • Wichura, M.J. (1988). "Algorithm AS241: The Percentage Points of the Normal Distribution". Applied Statistics. 37 (3). Blackwell Publishing: 477–484. doi:10.2307/2347330. JSTOR 2347330.

online.no

home.online.no

r-project.org

cran.r-project.org

scipy.org

docs.scipy.org

semanticscholar.org

api.semanticscholar.org

shufe.edu.cn

course.shufe.edu.cn

web.archive.org

wu.ac.at

research.wu.ac.at

statmath.wu.ac.at