An Investigation of Humus Disintegration by Spatial-Temporal Regression Analysis

dc.contributor.authorFried, Roland H.de
dc.date.accessioned2004-12-06T18:41:03Z
dc.date.available2004-12-06T18:41:03Z
dc.date.issued2003de
dc.description.abstractWe examine the hypothesis of an increase of humus disintegration by analyzing chemical substances measured in the seepage water of a German forest. Problems arise because of a large percentage of missing observations. We use a regression model with spatial and temporal effects constructed in an exploratory data analysis. Spatial dependencies are modelled by random effects and an autoregressive structure for observations in distinct soil depths resulting in a recursive linear mixed model structure. Temporal dependencies are included by an autoregressive structure of the random effects. For parameter estimation an EM algorithm is deduced assuming the errors to be Gaussian. As a result of the data analysis we specify chemical substances which possibly affect the process of humus disintegration. In particular, we find evidence that the presence of aluminium ions is important, but because of the high correlations among the regressors this might be due to confounding with iron.en
dc.format.extent246652 bytes
dc.format.extent694870 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4980
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15106
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectautoregressive modelen
dc.subjectmaximum likelihood estimationen
dc.subjectmissing dataen
dc.subjectmixed effectsen
dc.subjectrecursive linear modelen
dc.subjectspatial-temporal correlationsen
dc.subject.ddc310de
dc.titleAn Investigation of Humus Disintegration by Spatial-Temporal Regression Analysisen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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