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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
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