A goodness-of-fit test based on ranks for ARMA models

In this paper we introduce a goodness-of-fit test based test based on ranks for ARMA models. The classical portmanteau statistic is generalized to a class of estimators based on ranks. The asymptotic distributions of the proposed statistics are derived. Simulation results show that the proposed stat...

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Autor principal: Kelmansky, Diana M.
Publicado: 1995
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610926_v24_n2_p295_Ferretti
http://hdl.handle.net/20.500.12110/paper_03610926_v24_n2_p295_Ferretti
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spelling paper:paper_03610926_v24_n2_p295_Ferretti2023-06-08T15:34:53Z A goodness-of-fit test based on ranks for ARMA models Kelmansky, Diana M. ARMA models goodness-of-fit ranks In this paper we introduce a goodness-of-fit test based test based on ranks for ARMA models. The classical portmanteau statistic is generalized to a class of estimators based on ranks. The asymptotic distributions of the proposed statistics are derived. Simulation results show that the proposed statistics have good robustness properties for an adequate choice of the score functions. © 1995, Taylor & Francis Group, LLC. All rights reserved. Fil:Kelmansky, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 1995 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610926_v24_n2_p295_Ferretti http://hdl.handle.net/20.500.12110/paper_03610926_v24_n2_p295_Ferretti
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic ARMA models
goodness-of-fit
ranks
spellingShingle ARMA models
goodness-of-fit
ranks
Kelmansky, Diana M.
A goodness-of-fit test based on ranks for ARMA models
topic_facet ARMA models
goodness-of-fit
ranks
description In this paper we introduce a goodness-of-fit test based test based on ranks for ARMA models. The classical portmanteau statistic is generalized to a class of estimators based on ranks. The asymptotic distributions of the proposed statistics are derived. Simulation results show that the proposed statistics have good robustness properties for an adequate choice of the score functions. © 1995, Taylor & Francis Group, LLC. All rights reserved.
author Kelmansky, Diana M.
author_facet Kelmansky, Diana M.
author_sort Kelmansky, Diana M.
title A goodness-of-fit test based on ranks for ARMA models
title_short A goodness-of-fit test based on ranks for ARMA models
title_full A goodness-of-fit test based on ranks for ARMA models
title_fullStr A goodness-of-fit test based on ranks for ARMA models
title_full_unstemmed A goodness-of-fit test based on ranks for ARMA models
title_sort goodness-of-fit test based on ranks for arma models
publishDate 1995
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610926_v24_n2_p295_Ferretti
http://hdl.handle.net/20.500.12110/paper_03610926_v24_n2_p295_Ferretti
work_keys_str_mv AT kelmanskydianam agoodnessoffittestbasedonranksforarmamodels
AT kelmanskydianam goodnessoffittestbasedonranksforarmamodels
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