Trend tests in time series with missing values: a case study with imputation

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorRamos, Maria do Rosário-
Autor(es): dc.creatorCordeiro, Clara-
Data de aceite: dc.date.accessioned2025-08-22T11:51:37Z-
Data de disponibilização: dc.date.available2025-08-22T11:51:37Z-
Data de envio: dc.date.issued2023-08-02-
Data de envio: dc.date.issued2023-08-02-
Data de envio: dc.date.issued2013-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/14718-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/14718-
Descrição: dc.descriptionTesting for trend is an important problem, especially when one is dealing with environmental time series. The tests considered here are the usual t-test and the Mann-Kendall test, a nonparametric version widely used because it requires fewer assumptions. The aim is to assess the performance of two trend tests in time series with autocorrelation after an imputation method is applied to estimate the missing observations. The performance of the trend tests will be illustrated for some well-known data sets existing in R software.-
Descrição: dc.descriptionResearch of M. Rosário Ramos was partially supported by FCT-Fundação para a Ciência e a Tecnologia, Portugal trough the project PEst OE/MAT/UI0209/2011 and research of Clara Cordeiro was partially funded by FCT, Portugal, through the project PEst-OE/MAT/UI0006/2011.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherAIP Publishing-
Palavras-chave: dc.subjectTrend tests-
Palavras-chave: dc.subjectMann-Kendall-
Palavras-chave: dc.subjectMissing values-
Palavras-chave: dc.subjectSieve bootstrap-
Palavras-chave: dc.subjectTime series-
Palavras-chave: dc.subjectT-test-
Título: dc.titleTrend tests in time series with missing values: a case study with imputation-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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