Estimation of random survival function: a linear approach

In the first part of this work, a Survival function is considered which is supposed to be an Exponential Gamma Process. The main statistical and probability properties of this process and its Bayesian interpretation are considered. In the second part, the problem to estimate, from a Bayesian view po...

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Detalles Bibliográficos
Autores: Quesada Paloma, Vicente, García Pérez, Alfonso
Tipo de recurso: artículo
Fecha de publicación:1982
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/4553
Acceso en línea:https://hdl.handle.net/2099/4553
Access Level:acceso abierto
Palabra clave:Inference
Exponential Gamma Procecess
Linear approach
Survival function
Bayesian nonparametric estimation
Survival mean time
Inferència
Classificació AMS::62 Statistics::62G Nonparametric inference
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spelling Estimation of random survival function: a linear approachQuesada Paloma, VicenteGarcía Pérez, AlfonsoInferenceExponential Gamma ProcecessLinear approachSurvival functionBayesian nonparametric estimationSurvival mean timeInferènciaClassificació AMS::62 Statistics::62G Nonparametric inferenceIn the first part of this work, a Survival function is considered which is supposed to be an Exponential Gamma Process. The main statistical and probability properties of this process and its Bayesian interpretation are considered. In the second part, the problem to estimate, from a Bayesian view point, the Survival function is considered, looking for the Bayes rule inside of the set of linear combinations of a given set of sample functions. We finish with an estimation, in the same situation like before, of the survival mean time, and the i-th moment about the origin of the Survival function.Universitat Politècnica de Barcelona. Centre de Càlcul19821982-06-0120082008-03-10journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/4553reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 2.5 Spainhttp://creativecommons.org/licenses/by-nc-nd/2.5/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099/45532026-05-27T15:37:01Z
dc.title.none.fl_str_mv Estimation of random survival function: a linear approach
title Estimation of random survival function: a linear approach
spellingShingle Estimation of random survival function: a linear approach
Quesada Paloma, Vicente
Inference
Exponential Gamma Procecess
Linear approach
Survival function
Bayesian nonparametric estimation
Survival mean time
Inferència
Classificació AMS::62 Statistics::62G Nonparametric inference
title_short Estimation of random survival function: a linear approach
title_full Estimation of random survival function: a linear approach
title_fullStr Estimation of random survival function: a linear approach
title_full_unstemmed Estimation of random survival function: a linear approach
title_sort Estimation of random survival function: a linear approach
dc.creator.none.fl_str_mv Quesada Paloma, Vicente
García Pérez, Alfonso
author Quesada Paloma, Vicente
author_facet Quesada Paloma, Vicente
García Pérez, Alfonso
author_role author
author2 García Pérez, Alfonso
author2_role author
dc.subject.none.fl_str_mv Inference
Exponential Gamma Procecess
Linear approach
Survival function
Bayesian nonparametric estimation
Survival mean time
Inferència
Classificació AMS::62 Statistics::62G Nonparametric inference
topic Inference
Exponential Gamma Procecess
Linear approach
Survival function
Bayesian nonparametric estimation
Survival mean time
Inferència
Classificació AMS::62 Statistics::62G Nonparametric inference
description In the first part of this work, a Survival function is considered which is supposed to be an Exponential Gamma Process. The main statistical and probability properties of this process and its Bayesian interpretation are considered. In the second part, the problem to estimate, from a Bayesian view point, the Survival function is considered, looking for the Bayes rule inside of the set of linear combinations of a given set of sample functions. We finish with an estimation, in the same situation like before, of the survival mean time, and the i-th moment about the origin of the Survival function.
publishDate 1982
dc.date.none.fl_str_mv 1982
1982-06-01
2008
2008-03-10
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099/4553
url https://hdl.handle.net/2099/4553
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Barcelona. Centre de Càlcul
publisher.none.fl_str_mv Universitat Politècnica de Barcelona. Centre de Càlcul
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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