Parametric and nonparametric tests for dependent data / by A.H. El-Shaarawi and Eivind Damsleth.: En13-5/87-35E-PDF
"Simulation and analytical results show that ignoring serial dependence can have serious effects on the performance of the t, sign and Wilcoxen tests. In particular, the true significance levels of these tests are altered significantly from the intended nominal levels. Modifications for these tests are given and shown to have the correct significance levels. Furthermore, an estimate of serial correlation is suggested for binary data and evaluated by simulation. An application to the Niagara River's toxic contaminants data concludes the paper"--Abstract.
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publications.gc.ca/pub?id=9.867793&sl=0
| Department/Agency | Canada. Environment Canada. National Water Research Institute (Canada) |
|---|---|
| Title | Parametric and nonparametric tests for dependent data / by A.H. El-Shaarawi and Eivind Damsleth. |
| Series title | NWRI contribution ; 87-35 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | Cover title. "Control no. AP267." "January 1987." Digitized edition from print [produced by Environment and Climate Change Canada]. Includes bibliographical references. Includes abstract and summary in French. |
| Publishing information | Burlington, Ontario : National Water Research Institute, Canada Centre for Inland Waters, 1987. |
| Author / Contributor | El-Shaarawi, A. H., author. Damsleth, Eivind, author. |
| Description | 1 online resource (12 pages, 14 unnumbered pages) : illustrations, map. |
| Catalogue number |
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| Subject terms | Water--Pollution--Niagara River (N.Y. and Ont.) Statistical hypothesis testing |
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