Overview
- Emphasis on graphical interpretation of quantile regression results
- Presents estimators designed specifically for the analysis of spatial data
- Includes both parametric and nonparametric approaches
- Includes both parametric and nonparametric
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Regional Science (BRIEFSREGION)
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Table of contents(6 chapters)
About this book
Authors and Affiliations
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Department of Economics, University of Illinois Institute of Government, Urbana, USA
Daniel P. McMillen
About the author
Bibliographic Information
Book Title: Quantile Regression for Spatial Data
Authors: Daniel P. McMillen
Series Title: SpringerBriefs in Regional Science
DOI: https://doi.org/10.1007/978-3-642-31815-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-3-642-31814-6Published: 01 August 2012
eBook ISBN: 978-3-642-31815-3Published: 01 August 2012
Series ISSN: 2192-0427
Series E-ISSN: 2192-0435
Edition Number: 1
Number of Pages: IX, 66
Number of Illustrations: 47 b/w illustrations
Topics: Regional/Spatial Science