Estimating the components of a mixture of extremal distributions under strong dependence
Resumen:
In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance.
| 2023 | |
|
Mixture of extremal distributions Strongly dependent data |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/43359 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522809418612736 |
|---|---|
| author | Crisci, Carolina |
| author2 | Perera, Gonzalo Sampognaro Charquero, Lía |
| author2_role | author author |
| author_facet | Crisci, Carolina Perera, Gonzalo Sampognaro Charquero, Lía |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Crisci Carolina, Universidad de la República (Uruguay). CURE. Perera Gonzalo, Universidad de la República (Uruguay). CURE. Sampognaro Charquero Lía, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. |
| dc.creator.none.fl_str_mv | Crisci, Carolina Perera, Gonzalo Sampognaro Charquero, Lía |
| dc.date.accessioned.none.fl_str_mv | 2024-04-08T12:38:11Z |
| dc.date.available.none.fl_str_mv | 2024-04-08T12:38:11Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance. |
| dc.format.extent.es.fl_str_mv | 17 h. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Crisci, C, Perera, G y Sampognaro Charquero, L. "Estimating the components of a mixture of extremal distributions under strong dependence". Advances in Pure Mathematics. [en línea] 2023, 13(7): 425-441. 17 h. DOI: 10.4236/apm.2023.137027. |
| dc.identifier.doi.none.fl_str_mv | 10.4236/apm.2023.137027 |
| dc.identifier.issn.none.fl_str_mv | 2160-0384 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43359 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Scientific Research |
| dc.relation.ispartof.es.fl_str_mv | Advances in Pure Mathematics, 2023, 13(7): 425-441. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Mixture of extremal distributions Strongly dependent data |
| dc.title.none.fl_str_mv | Estimating the components of a mixture of extremal distributions under strong dependence |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_cad78895502ed5bc930c0d031b9623df |
| identifier_str_mv | Crisci, C, Perera, G y Sampognaro Charquero, L. "Estimating the components of a mixture of extremal distributions under strong dependence". Advances in Pure Mathematics. [en línea] 2023, 13(7): 425-441. 17 h. DOI: 10.4236/apm.2023.137027. 2160-0384 10.4236/apm.2023.137027 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43359 |
| publishDate | 2023 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Crisci Carolina, Universidad de la República (Uruguay). CURE.Perera Gonzalo, Universidad de la República (Uruguay). CURE.Sampognaro Charquero Lía, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.2024-04-08T12:38:11Z2024-04-08T12:38:11Z2023Crisci, C, Perera, G y Sampognaro Charquero, L. "Estimating the components of a mixture of extremal distributions under strong dependence". Advances in Pure Mathematics. [en línea] 2023, 13(7): 425-441. 17 h. DOI: 10.4236/apm.2023.137027.2160-0384https://hdl.handle.net/20.500.12008/4335910.4236/apm.2023.137027In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-04-04T15:17:33Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.4236.apm.2023.137027.pdf: 785991 bytes, checksum: fca9bdc5e495562bb63bc0a360979b15 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-04-08T12:37:26Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.4236.apm.2023.137027.pdf: 785991 bytes, checksum: fca9bdc5e495562bb63bc0a360979b15 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-04-08T12:38:11Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.4236.apm.2023.137027.pdf: 785991 bytes, checksum: fca9bdc5e495562bb63bc0a360979b15 (MD5) Previous issue date: 202317 h.application/pdfenengScientific ResearchAdvances in Pure Mathematics, 2023, 13(7): 425-441.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Mixture of extremal distributionsStrongly dependent dataEstimating the components of a mixture of extremal distributions under strong dependenceArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCrisci, CarolinaPerera, GonzaloSampognaro Charquero, LíaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/43359/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/43359/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Estimating the components of a mixture of extremal distributions under strong dependence Crisci, Carolina Mixture of extremal distributions Strongly dependent data |
| status_str | publishedVersion |
| title | Estimating the components of a mixture of extremal distributions under strong dependence |
| title_full | Estimating the components of a mixture of extremal distributions under strong dependence |
| title_fullStr | Estimating the components of a mixture of extremal distributions under strong dependence |
| title_full_unstemmed | Estimating the components of a mixture of extremal distributions under strong dependence |
| title_short | Estimating the components of a mixture of extremal distributions under strong dependence |
| title_sort | Estimating the components of a mixture of extremal distributions under strong dependence |
| topic | Mixture of extremal distributions Strongly dependent data |
| url | https://hdl.handle.net/20.500.12008/43359 |
