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Spatial econometrics using microdata
This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to ident...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Wiley
2014
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Acceso en línea: | http://cds.cern.ch/record/1953392 |
_version_ | 1780944366771109888 |
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author | Dubé, Jean Legros, Diego |
author_facet | Dubé, Jean Legros, Diego |
author_sort | Dubé, Jean |
collection | CERN |
description | This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares appr |
id | cern-1953392 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Wiley |
record_format | invenio |
spelling | cern-19533922021-04-21T20:51:44Zhttp://cds.cern.ch/record/1953392engDubé, JeanLegros, DiegoSpatial econometrics using microdataMathematical Physics and MathematicsThis book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares apprWileyoai:cds.cern.ch:19533922014 |
spellingShingle | Mathematical Physics and Mathematics Dubé, Jean Legros, Diego Spatial econometrics using microdata |
title | Spatial econometrics using microdata |
title_full | Spatial econometrics using microdata |
title_fullStr | Spatial econometrics using microdata |
title_full_unstemmed | Spatial econometrics using microdata |
title_short | Spatial econometrics using microdata |
title_sort | spatial econometrics using microdata |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1953392 |
work_keys_str_mv | AT dubejean spatialeconometricsusingmicrodata AT legrosdiego spatialeconometricsusingmicrodata |