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.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.867793&sl=1
| Ministère/Organisme | Canada. Environment Canada. National Water Research Institute (Canada) |
|---|---|
| Titre | Parametric and nonparametric tests for dependent data / by A.H. El-Shaarawi and Eivind Damsleth. |
| Titre de la série | NWRI contribution ; 87-35 |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| 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. |
| Information sur la publication | Burlington, Ontario : National Water Research Institute, Canada Centre for Inland Waters, 1987. |
| Auteur / Contributeur | El-Shaarawi, A. H., author. Damsleth, Eivind, author. |
| Description | 1 online resource (12 pages, 14 unnumbered pages) : illustrations, map. |
| Numéro de catalogue |
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| Descripteurs | Water--Pollution--Niagara River (N.Y. and Ont.) Statistical hypothesis testing |