Document details for 'Temporal smoothing of compositional data on water quality'

Authors Brewer, M.J., Tetzlaff, D., Waldron, S. and Soulsby, C.
Publication details In "Proceedings of the 22nd International Workshop on Statistical Modelling", 121-125. Eds. del Castillo, J., Espinal, A. and Puig, P.. l'Institut d'Estadistica de Catalunya, Barcelona, Spain.
Publisher details l'Institut d'Estadistica de Catalunya, Barcelona, Spain
Keywords Compositional analysis; temporal smoothing; water quality
Abstract We consider temporal smoothing at two different timescales within a compositional analysis of water quality monitoring data. Our aims are (i) to account for autocorrelation to enable better estimation of the relationship between water quality and flow rates, an important issue with changing weather patterns, and (ii) to disentangle between- and within-day autocorrelation.
ISBN 9788469059432
Last updated 2008-06-10
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