| 000 | 02758nam a22004695i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-31815-3 | ||
| 003 | DE-He213 | ||
| 005 | 20200420211741.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120731s2013 gw | s |||| 0|eng d | ||
| 020 |
_a9783642318153 _9978-3-642-31815-3 |
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| 024 | 7 |
_a10.1007/978-3-642-31815-3 _2doi |
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| 050 | 4 | _aHT388 | |
| 050 | 4 | _aHD28-9999 | |
| 072 | 7 |
_aKCP _2bicssc |
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_aGTB _2bicssc |
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_aBUS067000 _2bisacsh |
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| 082 | 0 | 4 |
_a338.9 _223 |
| 100 | 1 |
_aMcMillen, Daniel P. _eauthor. |
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| 245 | 1 | 0 |
_aQuantile Regression for Spatial Data _h[electronic resource] / _cby Daniel P. McMillen. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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| 300 |
_aIX, 66 p. 47 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs in Regional Science, _x2192-0427 |
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| 505 | 0 | _a1 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 | _aQuantile 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. | ||
| 650 | 0 | _aRegional economics. | |
| 650 | 0 | _aSpatial economics. | |
| 650 | 1 | 4 | _aEconomics. |
| 650 | 2 | 4 | _aRegional/Spatial Science. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642318146 |
| 830 | 0 |
_aSpringerBriefs in Regional Science, _x2192-0427 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-31815-3 |
| 912 | _aZDB-2-SBE | ||
| 942 | _cEBK | ||
| 999 |
_c50680 _d50680 |
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