Testing for trend in water quality monitoring data / S.R. Esterby, A.H. El-Shaarawi, LC. Keeler and H.O. Block.: En13-5/91-02E-PDF
"Methods for time trend detection and estimation, suitable for water quality data sets such as that from the Bow and South Saskatchewan Rivers, are considered here. Several features of the data set determine the class of methods which can be used. The record length is moderate (about 10 years) and the sampling interval within the year is long enough so that the presence of serial correlation is unlikely (van Belle and Hughes, 1984, suggest that the interval should be at least two weeks). The sampling and analytical techniques are consistent over the period of interest or the effect of changes can be removed in the statistical analysis. Features, such as seasonality and missing data, are present and must be taken into account"--Introduction, page 1.
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| Title | Testing for trend in water quality monitoring data / S.R. Esterby, A.H. El-Shaarawi, LC. Keeler and H.O. Block. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 1 online resource (4 unnumbered pages, 24 pages, 6 unnumbered pages) : illustrations. |
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