Fractionally differenced models for water quality time series

Fractionally differenced models for water quality time series

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Article ID: iaor1988393
Country: Switzerland
Volume: 9
Start Page Number: 399
End Page Number: 420
Publication Date: Feb 1987
Journal: Annals of Operations Research
Authors: ,
Keywords: water
Abstract:

This paper deals with the selection and evaluation of statistical techniques for use in the modeling and forecasting of water quality time series. The focus is on statistical concepts relevant to the analysis of flows and concentrations. A selection of time series procedures has been used for auditing water quality archival data, including the screening of data sets, correlation and spectrum calculations, and iterative model fitting. A summary is provided of experience with analyzing archival data on the Niagara River and the use of a fractionally differenced model.

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