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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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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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 |
_version_ |
1768546069063401472 |