Quantile Regression for Spatial Data

Language: English

Published by Springer, Springer Aug 2012, 2012

3642318142 / 9783642318146

Series: Book 2 of 10 - SpringerBriefs in Regional Science

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This item is printed on demand - Print on Demand Titel. Neuware -Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes for the entire distribution of the dependent variable. Despite its advantages, quantile regression is still not commonly used in the analysis of spatial data. The objective of this book is to make quantile regression procedures more accessible for researchers working with spatial data sets. The emphasis is on interpretation of quantile regression results. A series of examples using both simulated and actual data sets shows how readily seemingly complex quantile regression results can be interpreted with sets of well-constructed graphs. Both parametric and nonparametric versions of spatial models are considered in detail.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 76 pp. Englisch.…

Seller Inventory # 9783642318146

Title
Quantile Regression for Spatial Data
Author
Daniel P. Mcmillen
Publisher
Springer, Springer Aug 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642318142
ISBN 13
9783642318146
Item weight
131 grams
Dimensions
235x155x5 mm
Series
Book 2 of 10: SpringerBriefs in Regional Science

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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