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A Generic Procedure for Simultaneous Estimation of Monotone Trends and Seasonal Patterns in Time Series of Environmental Data

dc.contributor.authorHussian, Mohamed
dc.contributor.authorGrimvall, Anders
dc.contributor.editorGnauck, Albrecht
dc.contributor.editorHeinrich, Ralph
dc.date.accessioned2019-09-16T09:33:40Z
dc.date.available2019-09-16T09:33:40Z
dc.date.issued2003
dc.description.abstractMost of the currently used methods for time series analysis have been developed for official statistics and economic forecasting. This article is devoted to new non-parametric procedures that take into account some very widespread features of environmental data. In particular, we propose an algorithm for simultaneous estimation of monotone temporal trends and smooth seasonal patterns. Similar algorithms may also be used to combine the extraction of trend and seasonal components with removal of natural fluctuations that can be attributed to meteorological and other physical forcings of the environmental system under consideration.de
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27103
dc.publisherMetropolis
dc.relation.ispartofThe Information Society and Enlargement of the European Union
dc.relation.ispartofseriesEnviroInfo
dc.titleA Generic Procedure for Simultaneous Estimation of Monotone Trends and Seasonal Patterns in Time Series of Environmental Datade
dc.typeText/Conference Paper
gi.citation.publisherPlaceMarburg
gi.conference.date2003
gi.conference.locationCottbus
gi.conference.sessiontitleApplications - Environmental Statistics

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