Improvements to resampling measures of group support
- Autores
- Goloboff, Pablo Augusto; Farris, James; Kallersjo, Mari; Oxelman, Bengt; Ramirez, Martin; Szumik, Claudia Adriana
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies under either bootstrapping or jackknifing can be distorted, producing either under‐ or overestimations of the actual group support. This is avoided by symmetric resampling, where the probability p of increasing the weight of a character equals the probability of decreasing it. Problems with interpreting absolute group frequencies as a measure of the support are discussed; group support does not necessarily vary with the frequency itself, since in some cases groups with positive support may have much lower frequencies than groups with no support at all. Three possible solutions for this problem are suggested. The first is measuring the support as the difference in frequency between the group and its most frequent contradictory group. The second is calculating frequencies for values of p below the threshold under which the frequency ranks the groups in the right order of support (this threshold may vary from data set to data set). The third is estimating the support by using the slope of the frequency as a function of different (low) values of p; when p is low, groups with actual support have negative slopes (closer to 0 when the support is higher), and groups with no support have positive slopes (larger when evidence for and against the group is more abundant).
Fil: Goloboff, Pablo Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
Fil: Farris, James. Naturhistoriska Riksmuseet; Suecia
Fil: Kallersjo, Mari. Naturhistoriska Riksmuseet; Suecia
Fil: Oxelman, Bengt. Uppsala Universitet; Suecia
Fil: Ramirez, Martin. American Museum of Natural History; Estados Unidos
Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina - Materia
-
resampling methods
frequency
slope of frequency
abundance - 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:11336/101057
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Improvements to resampling measures of group supportGoloboff, Pablo AugustoFarris, JamesKallersjo, MariOxelman, BengtRamirez, MartinSzumik, Claudia Adrianaresampling methodsfrequencyslope of frequencyabundancehttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies under either bootstrapping or jackknifing can be distorted, producing either under‐ or overestimations of the actual group support. This is avoided by symmetric resampling, where the probability p of increasing the weight of a character equals the probability of decreasing it. Problems with interpreting absolute group frequencies as a measure of the support are discussed; group support does not necessarily vary with the frequency itself, since in some cases groups with positive support may have much lower frequencies than groups with no support at all. Three possible solutions for this problem are suggested. The first is measuring the support as the difference in frequency between the group and its most frequent contradictory group. The second is calculating frequencies for values of p below the threshold under which the frequency ranks the groups in the right order of support (this threshold may vary from data set to data set). The third is estimating the support by using the slope of the frequency as a function of different (low) values of p; when p is low, groups with actual support have negative slopes (closer to 0 when the support is higher), and groups with no support have positive slopes (larger when evidence for and against the group is more abundant).Fil: Goloboff, Pablo Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaFil: Farris, James. Naturhistoriska Riksmuseet; SueciaFil: Kallersjo, Mari. Naturhistoriska Riksmuseet; SueciaFil: Oxelman, Bengt. Uppsala Universitet; SueciaFil: Ramirez, Martin. American Museum of Natural History; Estados UnidosFil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaWiley Blackwell Publishing, Inc2003-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/101057Goloboff, Pablo Augusto; Farris, James; Kallersjo, Mari; Oxelman, Bengt; Ramirez, Martin; et al.; Improvements to resampling measures of group support; Wiley Blackwell Publishing, Inc; Cladistics; 19; 4; 12-2003; 324-3320748-3007CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/S0748-3007(03)00060-4info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1096-0031.2003.tb00376.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:49:40Zoai:ri.conicet.gov.ar:11336/101057instacron: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:34982025-09-17 11:49:40.539CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Improvements to resampling measures of group support |
title |
Improvements to resampling measures of group support |
spellingShingle |
Improvements to resampling measures of group support Goloboff, Pablo Augusto resampling methods frequency slope of frequency abundance |
title_short |
Improvements to resampling measures of group support |
title_full |
Improvements to resampling measures of group support |
title_fullStr |
Improvements to resampling measures of group support |
title_full_unstemmed |
Improvements to resampling measures of group support |
title_sort |
Improvements to resampling measures of group support |
dc.creator.none.fl_str_mv |
Goloboff, Pablo Augusto Farris, James Kallersjo, Mari Oxelman, Bengt Ramirez, Martin Szumik, Claudia Adriana |
author |
Goloboff, Pablo Augusto |
author_facet |
Goloboff, Pablo Augusto Farris, James Kallersjo, Mari Oxelman, Bengt Ramirez, Martin Szumik, Claudia Adriana |
author_role |
author |
author2 |
Farris, James Kallersjo, Mari Oxelman, Bengt Ramirez, Martin Szumik, Claudia Adriana |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
resampling methods frequency slope of frequency abundance |
topic |
resampling methods frequency slope of frequency abundance |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies under either bootstrapping or jackknifing can be distorted, producing either under‐ or overestimations of the actual group support. This is avoided by symmetric resampling, where the probability p of increasing the weight of a character equals the probability of decreasing it. Problems with interpreting absolute group frequencies as a measure of the support are discussed; group support does not necessarily vary with the frequency itself, since in some cases groups with positive support may have much lower frequencies than groups with no support at all. Three possible solutions for this problem are suggested. The first is measuring the support as the difference in frequency between the group and its most frequent contradictory group. The second is calculating frequencies for values of p below the threshold under which the frequency ranks the groups in the right order of support (this threshold may vary from data set to data set). The third is estimating the support by using the slope of the frequency as a function of different (low) values of p; when p is low, groups with actual support have negative slopes (closer to 0 when the support is higher), and groups with no support have positive slopes (larger when evidence for and against the group is more abundant). Fil: Goloboff, Pablo Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina Fil: Farris, James. Naturhistoriska Riksmuseet; Suecia Fil: Kallersjo, Mari. Naturhistoriska Riksmuseet; Suecia Fil: Oxelman, Bengt. Uppsala Universitet; Suecia Fil: Ramirez, Martin. American Museum of Natural History; Estados Unidos Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina |
description |
Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies under either bootstrapping or jackknifing can be distorted, producing either under‐ or overestimations of the actual group support. This is avoided by symmetric resampling, where the probability p of increasing the weight of a character equals the probability of decreasing it. Problems with interpreting absolute group frequencies as a measure of the support are discussed; group support does not necessarily vary with the frequency itself, since in some cases groups with positive support may have much lower frequencies than groups with no support at all. Three possible solutions for this problem are suggested. The first is measuring the support as the difference in frequency between the group and its most frequent contradictory group. The second is calculating frequencies for values of p below the threshold under which the frequency ranks the groups in the right order of support (this threshold may vary from data set to data set). The third is estimating the support by using the slope of the frequency as a function of different (low) values of p; when p is low, groups with actual support have negative slopes (closer to 0 when the support is higher), and groups with no support have positive slopes (larger when evidence for and against the group is more abundant). |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-12 |
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/11336/101057 Goloboff, Pablo Augusto; Farris, James; Kallersjo, Mari; Oxelman, Bengt; Ramirez, Martin; et al.; Improvements to resampling measures of group support; Wiley Blackwell Publishing, Inc; Cladistics; 19; 4; 12-2003; 324-332 0748-3007 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/101057 |
identifier_str_mv |
Goloboff, Pablo Augusto; Farris, James; Kallersjo, Mari; Oxelman, Bengt; Ramirez, Martin; et al.; Improvements to resampling measures of group support; Wiley Blackwell Publishing, Inc; Cladistics; 19; 4; 12-2003; 324-332 0748-3007 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/S0748-3007(03)00060-4 info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1096-0031.2003.tb00376.x |
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 |
dc.publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
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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1843606843550597120 |
score |
13.001348 |