Quantile Regression for Spatial Data (Record no. 50680)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02758nam a22004695i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-31815-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420211741.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120731s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642318153 |
| -- | 978-3-642-31815-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 338.9 |
| 100 1# - AUTHOR NAME | |
| Author | McMillen, Daniel P. |
| 245 10 - TITLE STATEMENT | |
| Title | Quantile Regression for Spatial Data |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | IX, 66 p. 47 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | SpringerBriefs in Regional Science, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 1 Quantile Regression: An Overview. 2 Linear and Nonparametric Quantile Regression -- 3 A Quantile Regression Analysis of Assessment Regressivity.-4 Quantile Version of the Spatial AR Model -- 5 . Conditionally Parametric Quantile Regression.- 6 Guide to Further Reading -- References. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-31815-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Regional economics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Spatial economics. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Economics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Regional/Spatial Science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2192-0427 |
| 912 ## - | |
| -- | ZDB-2-SBE |
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