On the distribution of proportions and ratios as indicators of ungulate body condition
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/6597 |
Resumo: | In the wildlife literature various studies have shown that the amount of fat around the kidneys is often a good indicator of body condition and health of ungulate species ([1],[2]). Wildlife biologies often measure the weights of fat around the kidneys and the kidneys themselves (without fat), comparing these two quantities and transforming them into a ratio or a proportion as surrogates of body condition of dead animals. Later, they use these indices as response variables to model the e®ect of covariates or treatments, such as age group and season of the year, on body condition. The more commonly used models are ANOVA-type. Most debate has been concentrated on whether or not to use a simple ANOVA model of ratios or proportions with ¯xed e®ects, or an ANCOVA model using fat weight as response variable, and the kidneys weight as a covariate ([3]). Results have taken by surprise some biologists because using one or another model with both response variables could lead to very di®erent results for what it considered the most important e®ects. In this manuscript we attempt to highlight the main di®erences and the distributional properties of these response variables, ratio and proportion. |
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On the distribution of proportions and ratios as indicators of ungulate body conditionProbability distributionsRatiosProportionsIn the wildlife literature various studies have shown that the amount of fat around the kidneys is often a good indicator of body condition and health of ungulate species ([1],[2]). Wildlife biologies often measure the weights of fat around the kidneys and the kidneys themselves (without fat), comparing these two quantities and transforming them into a ratio or a proportion as surrogates of body condition of dead animals. Later, they use these indices as response variables to model the e®ect of covariates or treatments, such as age group and season of the year, on body condition. The more commonly used models are ANOVA-type. Most debate has been concentrated on whether or not to use a simple ANOVA model of ratios or proportions with ¯xed e®ects, or an ANCOVA model using fat weight as response variable, and the kidneys weight as a covariate ([3]). Results have taken by surprise some biologists because using one or another model with both response variables could lead to very di®erent results for what it considered the most important e®ects. In this manuscript we attempt to highlight the main di®erences and the distributional properties of these response variables, ratio and proportion.ISI2012-12-07T12:46:36Z2012-12-072007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/6597http://hdl.handle.net/10174/6597engAlpizar-Jara, R., Quintino, H. & Serrano, E. (2007). On the distribution of proportions and ratios as indicators of ungulate body condition. Bulletin of the International Statistical Institute. Proceedings of 56th Session, ISI 2007, Lisboa, 4 p. (electronic publication).9789073592001http://www.isi-web.org/publications/proceedingsalpizar@uevora.ptndnd336Alpizar-Jara, R.Quintino, H.Serrano, E.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:46:15Zoai:dspace.uevora.pt:10174/6597Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:01:23.449049Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
On the distribution of proportions and ratios as indicators of ungulate body condition |
title |
On the distribution of proportions and ratios as indicators of ungulate body condition |
spellingShingle |
On the distribution of proportions and ratios as indicators of ungulate body condition Alpizar-Jara, R. Probability distributions Ratios Proportions |
title_short |
On the distribution of proportions and ratios as indicators of ungulate body condition |
title_full |
On the distribution of proportions and ratios as indicators of ungulate body condition |
title_fullStr |
On the distribution of proportions and ratios as indicators of ungulate body condition |
title_full_unstemmed |
On the distribution of proportions and ratios as indicators of ungulate body condition |
title_sort |
On the distribution of proportions and ratios as indicators of ungulate body condition |
author |
Alpizar-Jara, R. |
author_facet |
Alpizar-Jara, R. Quintino, H. Serrano, E. |
author_role |
author |
author2 |
Quintino, H. Serrano, E. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Alpizar-Jara, R. Quintino, H. Serrano, E. |
dc.subject.por.fl_str_mv |
Probability distributions Ratios Proportions |
topic |
Probability distributions Ratios Proportions |
description |
In the wildlife literature various studies have shown that the amount of fat around the kidneys is often a good indicator of body condition and health of ungulate species ([1],[2]). Wildlife biologies often measure the weights of fat around the kidneys and the kidneys themselves (without fat), comparing these two quantities and transforming them into a ratio or a proportion as surrogates of body condition of dead animals. Later, they use these indices as response variables to model the e®ect of covariates or treatments, such as age group and season of the year, on body condition. The more commonly used models are ANOVA-type. Most debate has been concentrated on whether or not to use a simple ANOVA model of ratios or proportions with ¯xed e®ects, or an ANCOVA model using fat weight as response variable, and the kidneys weight as a covariate ([3]). Results have taken by surprise some biologists because using one or another model with both response variables could lead to very di®erent results for what it considered the most important e®ects. In this manuscript we attempt to highlight the main di®erences and the distributional properties of these response variables, ratio and proportion. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01T00:00:00Z 2012-12-07T12:46:36Z 2012-12-07 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/6597 http://hdl.handle.net/10174/6597 |
url |
http://hdl.handle.net/10174/6597 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Alpizar-Jara, R., Quintino, H. & Serrano, E. (2007). On the distribution of proportions and ratios as indicators of ungulate body condition. Bulletin of the International Statistical Institute. Proceedings of 56th Session, ISI 2007, Lisboa, 4 p. (electronic publication). 9789073592001 http://www.isi-web.org/publications/proceedings alpizar@uevora.pt nd nd 336 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
ISI |
publisher.none.fl_str_mv |
ISI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136497365942272 |