Abstract
In order to introduce this type of regression method, we shall consider some real world examples, where the application of traditional regression leads to misleading results. Then the definition of the quantile will be given and illustrated. With this definition, the method of quantile regression can be constructed.
This is a preview of subscription content, log in via an institution to check access.
References
Antonov A (2013) Quantile regression mathematica package, source code at GitHub, https://github.com/antononcube/MathematicaForPrediction, package QuantileRegression.m
Davino C, Furno M, Vistocco D (2014) Quantile regression—theory and applications. Wiley Series in Probability and Statistics
Hald A (2007) A history of parametric statistical inference from Bernoulli to fisher 1713–1935. Springer, Berlin
Koenker R (2005) Quantile regression. econometric society monograph. Cambridge University Press, Cambridge. http://www2.sas.com/proceedings/sugi30/213-30.pdf
Logan J, Petscher Y (2013) An introduction to quantile regression. In: Presentation for modern modeling methods conference: 23 May 2013
McMillen DP (2012) Quantile regression for spatial data (SpringerBriefs in Regional Science) Springer
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Awange, J.L., Paláncz, B., Lewis, R.H., Völgyesi, L. (2018). Quantile Regression. In: Mathematical Geosciences. Springer, Cham. https://doi.org/10.1007/978-3-319-67371-4_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-67371-4_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67370-7
Online ISBN: 978-3-319-67371-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)