00000nam 2200000zi 4500 9.867793 CaOODSP 20241203113645 m o d f cr nn||||||||| 190130s1987 oncab ob f000 0 eng d CaOODSP eng rda CaOODSP eng fre n-cn-on n-cn-ny En13-5/87-35E-PDF El-Shaarawi, A. H., author. Parametric and nonparametric tests for dependent data / by A.H. El-Shaarawi and Eivind Damsleth. Burlington, Ontario : National Water Research Institute, Canada Centre for Inland Waters, 1987. 1 online resource (12 pages, 14 unnumbered pages) : illustrations, map. text txt rdacontent computer c rdamedia online resource cr rdacarrier NWRI contribution ; 87-35 Cover title. "Control no. AP267." "January 1987." Digitized edition from print [produced by Environment and Climate Change Canada]. Includes bibliographical references. "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. Includes abstract and summary in French. Water--Pollution--Niagara River (N.Y. and Ont.) Statistical hypothesis testing Damsleth, Eivind, author. Canada. Environment Canada. National Water Research Institute (Canada) NWRI contribution ; 87-35. (CaOODSP)9.844121 PDF 1.25 MB https://publications.gc.ca/collections/collection_2019/eccc/En13-5-87-35-eng.pdf