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A Bayesian Approach to Estimation of Metal Flows in Waste Streams

dc.contributor.authorLöfving, Erik
dc.contributor.authorGrimvall, Anders
dc.contributor.editorPillmann, Werner
dc.contributor.editorTochtermann, Klaus
dc.date.accessioned2019-09-16T09:33:07Z
dc.date.available2019-09-16T09:33:07Z
dc.date.issued2002
dc.description.abstractMetal contents in waste are normally presented without any measures of uncertainty, and, if such measures are given, they are normally based on subjective judgements. Moreover, it is difficult to analyse existing data sets by employing traditional statistical procedures. The number of analysed samples can be very small and the sampling strategy is often unknown. Outliers are common and it is not unusual that the standard deviation is larger than the mean. In this paper, we propose a method that combines subjective judgement of uncertainty with actual observations to establish uncertainty bounds. The Bayesian statistical framework is used to set up a probability model that reflects our scientific problem, and this provides a theoretical basis for the inference problem.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol105/0489.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26963
dc.publisherIGU/ISEP
dc.relation.ispartofEnvironmental Communication in the Information Society - Proceedings of the 16th Conference
dc.relation.ispartofseriesEnviroInfo
dc.titleA Bayesian Approach to Estimation of Metal Flows in Waste Streamsde
dc.typeText/Conference Paper
gi.citation.publisherPlaceWien
gi.conference.date2002
gi.conference.locationWien
gi.conference.sessiontitleEnvironmental Statistics

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