Change point analysis in non-stationary processes - a mass excess approach

dc.contributor.authorDette, Holger
dc.contributor.authorWu, Weichi
dc.date.accessioned2018-02-01T11:52:48Z
dc.date.available2018-02-01T11:52:48Z
dc.date.issued2018
dc.description.abstractThis paper considers the problem of testing if a sequence of means (μ t)t=1,...,n of a non-stationary time series (Xt)t=1,...,n is stable in the sense that the di fference of the means μ1 and μt between the initial time t = 1 and any other time is smaller than a given level, that is |μ1 — μt| ≤ c for all t = 1,..., n. A test for hypotheses of this type is developed using a bias corrected monotone rearranged local linear estimator and asymptotic normality of the corresponding test statistic is established. As the asymptotic variance depends on the location and order of the critical roots of the equation |μ1 — μt| = c a new bootstrap procedure is proposed to obtain critical values and its consistency is established. As a consequence we are able to quantitatively describe relevant deviations of a non-stationary sequence from its initial value. The results are illustrated by means of a simulation study and by analyzing data examples.de
dc.identifier.urihttp://hdl.handle.net/2003/36346
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-18348
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;1/2018en
dc.subjectlocally stationary processen
dc.subjectchange point analysisen
dc.subjectrelevant change pointsen
dc.subjectlocal linear estimationen
dc.subjectGaussian approximationen
dc.subjectrearrangement estimatorsen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.subject.rswkChange-point-Problemen
dc.subject.rswkGauß-Approximationen
dc.titleChange point analysis in non-stationary processes - a mass excess approachen
dc.typeTextde
dc.type.publicationtypeworkingPaperen
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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