Exponentiality versus generalized Pareto — a resistant and robust test

Using resistant and robust methods we propose the statistic Tn = (FU −M)/(M −FL) for testing exponentiality versus generalized Pareto, where FU , FL and M are, respectively, the upper and lower fourths and the median of a random sample of size n. The statistic Tn is based on the statistic Vn = (Xn:...

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Main Author: M. F. Brilhante
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2004-06-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/6
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author M. F. Brilhante
author_facet M. F. Brilhante
author_sort M. F. Brilhante
collection DOAJ
description Using resistant and robust methods we propose the statistic Tn = (FU −M)/(M −FL) for testing exponentiality versus generalized Pareto, where FU , FL and M are, respectively, the upper and lower fourths and the median of a random sample of size n. The statistic Tn is based on the statistic Vn = (Xn:n−M)/(M −X1:n) used by Gomes (1982) to discriminate extremal models in a similar context but with a higher breakdown point. The simulated power of Tn is compared with the simulated power of Un =Xn:n/M and Vn, which can also be used to test the exponential behaviour of the sample data. Although we observe that the power of Tn is lower than the power of Un and Vn, we show that the performance of the first test is better than the performance of the two other tests when compared to broadened situations and mixtures commonly used to evaluate resistance and robustness.
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spelling doaj.art-b148d290169b4fe8b3ffdf2d961b4c482022-12-22T04:02:44ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712004-06-012110.57805/revstat.v2i1.6Exponentiality versus generalized Pareto — a resistant and robust testM. F. Brilhante0University of Azores Using resistant and robust methods we propose the statistic Tn = (FU −M)/(M −FL) for testing exponentiality versus generalized Pareto, where FU , FL and M are, respectively, the upper and lower fourths and the median of a random sample of size n. The statistic Tn is based on the statistic Vn = (Xn:n−M)/(M −X1:n) used by Gomes (1982) to discriminate extremal models in a similar context but with a higher breakdown point. The simulated power of Tn is compared with the simulated power of Un =Xn:n/M and Vn, which can also be used to test the exponential behaviour of the sample data. Although we observe that the power of Tn is lower than the power of Un and Vn, we show that the performance of the first test is better than the performance of the two other tests when compared to broadened situations and mixtures commonly used to evaluate resistance and robustness. https://revstat.ine.pt/index.php/REVSTAT/article/view/6generalized Pareto distributionbreakdown pointresistancerobustnessbroadened situationsmixtures
spellingShingle M. F. Brilhante
Exponentiality versus generalized Pareto — a resistant and robust test
Revstat Statistical Journal
generalized Pareto distribution
breakdown point
resistance
robustness
broadened situations
mixtures
title Exponentiality versus generalized Pareto — a resistant and robust test
title_full Exponentiality versus generalized Pareto — a resistant and robust test
title_fullStr Exponentiality versus generalized Pareto — a resistant and robust test
title_full_unstemmed Exponentiality versus generalized Pareto — a resistant and robust test
title_short Exponentiality versus generalized Pareto — a resistant and robust test
title_sort exponentiality versus generalized pareto a resistant and robust test
topic generalized Pareto distribution
breakdown point
resistance
robustness
broadened situations
mixtures
url https://revstat.ine.pt/index.php/REVSTAT/article/view/6
work_keys_str_mv AT mfbrilhante exponentialityversusgeneralizedparetoaresistantandrobusttest