| Abstract: | Some of the characteristics that complicate the analysis of water quality time series are non-normal distributions, seasonality, flow relatedness, missing values, values below the limit of detection, and serial correlation. Presented here are techniques that are suitable in the face of the complications listed above for the exploratory analysis of monthly water quality data for monotonic trends.-from Authors |
| Genre: | Article |
| ProdID: | 70011649 |
| Citation Author: | Hirsch, R. M.; Slack, J. R.; Smith, R. A. |
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| Citation End Page: | 121 |
| Citation Issue: | 1 |
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| Citation Language: | English |
| Citation Larger Work Title: | Water Resources Research |
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| Citation Number Of Pages: | 15 |
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| Citation Search Results Text: | Techniques of trend analysis for monthly water quality data.; 1982; Article; Journal; Water Resources Research; Hirsch, R. M.; Slack, J. R.; Smith, R. A. |
| Citation Start Page: | 107 |
| Citation Volume: | 18 |
| Citation Year: | 1982 |
| Type: | citation/reference |
| Text: | Techniques of trend analysis for monthly water quality data.; 1982; Article; Journal; Water Resources Research; Hirsch, R. M.; Slack, J. R.; Smith, R. A. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Fri, 1 Jan 1982 00:00 -0600 |
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