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Trend tests: a tendency to resampling

dc.contributor.authorRamos, Maria do Rosário
dc.contributor.authorClara, Cordeiro
dc.date.accessioned2023-08-02T15:55:46Z
dc.date.available2023-08-02T15:55:46Z
dc.date.issued2014
dc.description.abstractTrend analysis is an important problem in time series. Many studies have been developed to investigate this issue, with special attention to its application to environmental and hydrological time series. The presence of autocorrelation and missing observations affects the significance and power of trend tests, parametric or non-parametric. This study assesses the performance of two trend tests, t-test and the Mann-Kendall through an appropriate resampling technique. A new procedure based onsubsampling is proposed in order to assure good statistical properties of these tests. A comparison was established between this new approach and others already developed, such as bootstrap-based tests. In order to evaluate the performance of the new method, a simulation study is conducted considering a set of underlying slopes, different values of autocorrelation and different fractions of randomly missing data. The order of autocorrelation structure is estimated by the best fitting model obtained through the Akaike information criterion. Inspection of the data to detect missing observations is required, before applying the trend tests. In case of missing observations, their estimation and replace is performed by an imputation method available in software.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.isbn978‐84‐15814‐97‐9
dc.identifier.urihttp://hdl.handle.net/10400.2/14725
dc.language.isoengpt_PT
dc.publisherIgnacio Rojas Ruiz Gonzalo Ruiz Garcia Editora: Copicentro Granada S.L. University of Granadapt_PT
dc.subjectTrend testspt_PT
dc.subjectTime seriespt_PT
dc.subjectSieve bootstrappt_PT
dc.subjectSub samplingpt_PT
dc.subjectSerial correlationpt_PT
dc.subjectMissing valuespt_PT
dc.titleTrend tests: a tendency to resamplingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGranada, Spainpt_PT
oaire.citation.endPage328pt_PT
oaire.citation.issueIpt_PT
oaire.citation.startPage322pt_PT
oaire.citation.titleProceedings ITISE 2014. International work-conference On Time Seriespt_PT
person.familyNameRamos
person.givenNameMaria do Rosário
person.identifier206757
person.identifier.ciencia-id3A1F-E648-078D
person.identifier.orcid0000-0001-9114-0807
person.identifier.ridP-4530-2015
person.identifier.scopus-author-id54403639500
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc6cdb7b7-607d-4775-947f-d153ff6dded2
relation.isAuthorOfPublication.latestForDiscoveryc6cdb7b7-607d-4775-947f-d153ff6dded2

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