Simpson's paradox in trend analysis: An example from El Leoncito airglow data
- Autores
- Scheer, Jurgen; Reisin, Esteban Rodolfo
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We use our mesopause region temperature data from El Leoncito (31.8°S, 69.3°W) to illustrate how the increased length of the dataset alone does not simplify trend analysis. This is because the adequate interpretation of trend results does not only depend on the statistical characteristics of the data time-series. A longer dataset may make unexpected features stand out, which require an explanation before definite conclusions on long-term trends can be drawn. While the rotational temperatures derived at El Leoncito from the OH(6-2) airglow band appear rather homogeneous at first sight, the O2 temperatures measured with the same instrument and optical filter exhibit features strongly reminiscent of Simpson´s classical statistical paradox, in that straight-forward trends derived from parts show signs opposite to those of the complete data set. The resolution of this paradox requires more efforts to diagnose and remove the impact of instrumental artifacts besides taking any other geophysical variation that does not directly contribute to long-term change into account. Intercomparison with other instruments is certainly useful, but may warrant the elimination of new uncertainties discovered in the act.
Fil: Scheer, Jurgen. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Reisin, Esteban Rodolfo. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina - Materia
-
EL LEONCITO
MESOPAUSE REGION
TEMPERATURE TRENDS
DATA - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/17055
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Simpson's paradox in trend analysis: An example from El Leoncito airglow dataScheer, JurgenReisin, Esteban RodolfoEL LEONCITOMESOPAUSE REGIONTEMPERATURE TRENDSDATAhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1We use our mesopause region temperature data from El Leoncito (31.8°S, 69.3°W) to illustrate how the increased length of the dataset alone does not simplify trend analysis. This is because the adequate interpretation of trend results does not only depend on the statistical characteristics of the data time-series. A longer dataset may make unexpected features stand out, which require an explanation before definite conclusions on long-term trends can be drawn. While the rotational temperatures derived at El Leoncito from the OH(6-2) airglow band appear rather homogeneous at first sight, the O2 temperatures measured with the same instrument and optical filter exhibit features strongly reminiscent of Simpson´s classical statistical paradox, in that straight-forward trends derived from parts show signs opposite to those of the complete data set. The resolution of this paradox requires more efforts to diagnose and remove the impact of instrumental artifacts besides taking any other geophysical variation that does not directly contribute to long-term change into account. Intercomparison with other instruments is certainly useful, but may warrant the elimination of new uncertainties discovered in the act.Fil: Scheer, Jurgen. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Reisin, Esteban Rodolfo. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaAmerican Geophysical Union2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17055Scheer, Jurgen; Reisin, Esteban Rodolfo; Simpson's paradox in trend analysis: An example from El Leoncito airglow data; American Geophysical Union; Journal Of Geophysical Research; 118; 8; 7-2013; 5223-52290148-0227enghttps://ri.conicet.gov.ar/handle/11336/240593info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jgra.50461/fullinfo:eu-repo/semantics/altIdentifier/doi/10.1002/jgra.50461info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:44Zoai:ri.conicet.gov.ar:11336/17055instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:45:44.367CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
title |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
spellingShingle |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data Scheer, Jurgen EL LEONCITO MESOPAUSE REGION TEMPERATURE TRENDS DATA |
title_short |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
title_full |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
title_fullStr |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
title_full_unstemmed |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
title_sort |
Simpson's paradox in trend analysis: An example from El Leoncito airglow data |
dc.creator.none.fl_str_mv |
Scheer, Jurgen Reisin, Esteban Rodolfo |
author |
Scheer, Jurgen |
author_facet |
Scheer, Jurgen Reisin, Esteban Rodolfo |
author_role |
author |
author2 |
Reisin, Esteban Rodolfo |
author2_role |
author |
dc.subject.none.fl_str_mv |
EL LEONCITO MESOPAUSE REGION TEMPERATURE TRENDS DATA |
topic |
EL LEONCITO MESOPAUSE REGION TEMPERATURE TRENDS DATA |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
We use our mesopause region temperature data from El Leoncito (31.8°S, 69.3°W) to illustrate how the increased length of the dataset alone does not simplify trend analysis. This is because the adequate interpretation of trend results does not only depend on the statistical characteristics of the data time-series. A longer dataset may make unexpected features stand out, which require an explanation before definite conclusions on long-term trends can be drawn. While the rotational temperatures derived at El Leoncito from the OH(6-2) airglow band appear rather homogeneous at first sight, the O2 temperatures measured with the same instrument and optical filter exhibit features strongly reminiscent of Simpson´s classical statistical paradox, in that straight-forward trends derived from parts show signs opposite to those of the complete data set. The resolution of this paradox requires more efforts to diagnose and remove the impact of instrumental artifacts besides taking any other geophysical variation that does not directly contribute to long-term change into account. Intercomparison with other instruments is certainly useful, but may warrant the elimination of new uncertainties discovered in the act. Fil: Scheer, Jurgen. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina Fil: Reisin, Esteban Rodolfo. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina |
description |
We use our mesopause region temperature data from El Leoncito (31.8°S, 69.3°W) to illustrate how the increased length of the dataset alone does not simplify trend analysis. This is because the adequate interpretation of trend results does not only depend on the statistical characteristics of the data time-series. A longer dataset may make unexpected features stand out, which require an explanation before definite conclusions on long-term trends can be drawn. While the rotational temperatures derived at El Leoncito from the OH(6-2) airglow band appear rather homogeneous at first sight, the O2 temperatures measured with the same instrument and optical filter exhibit features strongly reminiscent of Simpson´s classical statistical paradox, in that straight-forward trends derived from parts show signs opposite to those of the complete data set. The resolution of this paradox requires more efforts to diagnose and remove the impact of instrumental artifacts besides taking any other geophysical variation that does not directly contribute to long-term change into account. Intercomparison with other instruments is certainly useful, but may warrant the elimination of new uncertainties discovered in the act. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/17055 Scheer, Jurgen; Reisin, Esteban Rodolfo; Simpson's paradox in trend analysis: An example from El Leoncito airglow data; American Geophysical Union; Journal Of Geophysical Research; 118; 8; 7-2013; 5223-5229 0148-0227 |
url |
http://hdl.handle.net/11336/17055 |
identifier_str_mv |
Scheer, Jurgen; Reisin, Esteban Rodolfo; Simpson's paradox in trend analysis: An example from El Leoncito airglow data; American Geophysical Union; Journal Of Geophysical Research; 118; 8; 7-2013; 5223-5229 0148-0227 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ri.conicet.gov.ar/handle/11336/240593 info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jgra.50461/full info:eu-repo/semantics/altIdentifier/doi/10.1002/jgra.50461 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Geophysical Union |
publisher.none.fl_str_mv |
American Geophysical Union |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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