Quantile Regression for Spatial Data
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer
2013
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| Schriftenreihe: | SpringerBriefs in Regional Science
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| Online-Zugang: | DE-634 DE-Aug4 DE-M347 DE-92 DE-1051 DE-898 DE-859 DE-1049 DE-863 DE-862 DE-2070s DE-473 DE-19 DE-703 DE-706 DE-739 Volltext Inhaltsverzeichnis Abstract |
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| adam_text | QUANTILE REGRESSION FOR SPATIAL DATA
/ MCMILLEN, DANIEL P.
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1QUANTILE 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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
QUANTILE REGRESSION FOR SPATIAL DATA
/ MCMILLEN, DANIEL P.
: 2013
ABSTRACT / INHALTSTEXT
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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | McMillen, Daniel P. 1958- |
| author_GND | (DE-588)132292564 |
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| author_role | aut |
| author_sort | McMillen, Daniel P. 1958- |
| author_variant | d p m dp dpm |
| building | Verbundindex |
| bvnumber | BV040528891 |
| callnumber-first | H - Social Science |
| callnumber-label | HT388 |
| callnumber-raw | HT388 |
| callnumber-search | HT388 |
| callnumber-sort | HT 3388 |
| callnumber-subject | HT - Communities, Classes, Races |
| collection | ZDB-2-SBE |
| ctrlnum | (OCoLC)811086849 (DE-599)GBV722260148 |
| dewey-full | 338.9 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338.9 |
| dewey-search | 338.9 |
| dewey-sort | 3338.9 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-642-31815-3 |
| format | Electronic eBook |
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| spellingShingle | McMillen, Daniel P. 1958- Quantile Regression for Spatial Data Raumdaten (DE-588)4206012-6 gnd Quantil (DE-588)4224812-7 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| subject_GND | (DE-588)4206012-6 (DE-588)4224812-7 (DE-588)4129903-6 |
| title | Quantile Regression for Spatial Data |
| title_auth | Quantile Regression for Spatial Data |
| title_exact_search | Quantile Regression for Spatial Data |
| title_full | Quantile Regression for Spatial Data Daniel P. McMillen |
| title_fullStr | Quantile Regression for Spatial Data Daniel P. McMillen |
| title_full_unstemmed | Quantile Regression for Spatial Data Daniel P. McMillen |
| title_short | Quantile Regression for Spatial Data |
| title_sort | quantile regression for spatial data |
| topic | Raumdaten (DE-588)4206012-6 gnd Quantil (DE-588)4224812-7 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| topic_facet | Raumdaten Quantil Regressionsanalyse |
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