Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/10400.3/2662 |
Resumo: | This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation MethodAffinity CoefficientPearson's Correlation CoefficientMonte Carlo Simulation MethodProbability LawsThis journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.The affinity coefficient and its extensions have both been used in hierarchical and non-hierarchical Cluster Analysis. The purpose of the present empirical study on the distribution of the basic and the generalized affinity coefficients and on the distribution of the standardized affinity coefficient, by the method of Wald and Wolfowitz, under different assumptions, is to assess the effect of the statistical probability distributions of the variables (columns) of the initial data matrix, and of the respective parameters, in the distribution of the values of these coefficients. We present some results concerning the asymptotic distribution of the referred coefficients under the assumption that the variables (for which the values of these coefficients are calculated) are independent and have statistical probability distributions specified apriori. In this distributional study, based on the Monte Carlo simulation method, we considered ten well-known statistical probability distributions with different variations of the respective parameters. The simulation studies lead to the conclusion that the coefficients’ convergence for the normal distribution is quite fast and, in general, a good approximation is obtained for small sample sizes, that is for sample sizes above 20 and in many cases for sample sizes above 10.Asian Online Journals (www.ajouronline.com)Repositório da Universidade dos AçoresSousa, ÁureaSilva, OsvaldoBacelar-Nicolau, HelenaNicolau, Fernando C.2014-02-03T10:45:54Z2013-122013-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/2662engSousa, Áurea; Silva, Osvaldo; Bacelar-Nicolau, Helena; Nicolau, Fernando C. (2013). "Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method". Asia Online Journals: Asian Journal of Applied Sciences, 1(5), 236-245,. ISSN 2321-0893.2321-0893 (Online)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:RCAAP2022-12-20T14:30:31Zoai:repositorio.uac.pt:10400.3/2662Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:25:20.500395Repositório 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 |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
title |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
spellingShingle |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method Sousa, Áurea Affinity Coefficient Pearson's Correlation Coefficient Monte Carlo Simulation Method Probability Laws |
title_short |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
title_full |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
title_fullStr |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
title_full_unstemmed |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
title_sort |
Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method |
author |
Sousa, Áurea |
author_facet |
Sousa, Áurea Silva, Osvaldo Bacelar-Nicolau, Helena Nicolau, Fernando C. |
author_role |
author |
author2 |
Silva, Osvaldo Bacelar-Nicolau, Helena Nicolau, Fernando C. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Sousa, Áurea Silva, Osvaldo Bacelar-Nicolau, Helena Nicolau, Fernando C. |
dc.subject.por.fl_str_mv |
Affinity Coefficient Pearson's Correlation Coefficient Monte Carlo Simulation Method Probability Laws |
topic |
Affinity Coefficient Pearson's Correlation Coefficient Monte Carlo Simulation Method Probability Laws |
description |
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 2013-12-01T00:00:00Z 2014-02-03T10:45:54Z |
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/10400.3/2662 |
url |
http://hdl.handle.net/10400.3/2662 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sousa, Áurea; Silva, Osvaldo; Bacelar-Nicolau, Helena; Nicolau, Fernando C. (2013). "Distribution of the Affinity Coefficient between Variables based on the Monte Carlo Simulation Method". Asia Online Journals: Asian Journal of Applied Sciences, 1(5), 236-245,. ISSN 2321-0893. 2321-0893 (Online) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Asian Online Journals (www.ajouronline.com) |
publisher.none.fl_str_mv |
Asian Online Journals (www.ajouronline.com) |
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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1799130702426406912 |