00000nam 2200000zi 4500 9.873713 CaOODSP 20241203113649 m o d f cr ||||||||||| 190528e198812##oncb #ob f000 0 eng d CaOODSP eng rda CaOODSP eng fre n-cn--- En13-5/89-119E-PDF El-Shaarawi, A. H., author. Inferences about the variability of means from censored data / by A.H. El-Shaarawi, P.B. Kauss, M.K. Kirby, and M. Walsh. Burlington, Ontario : National Water Research Institute, Rivers Research Branch, Canada Centre for Inland Waters ; Toronto, Ontario : Ontario Ministry of the Environment, Water Resources Branch, December 1988. 1 online resource (12 pages, 6 unnumbered pages) : map. text txt rdacontent computer c rdamedia online resource cr rdacarrier NWRI contribution ; 89-119 "RRB-88-94." Title from cover. Digitized edition from print [produced by Environment and Climate Change Canada]. Includes bibliographical references. "In recent years, intensive biological monitoring studies have been carried out on the Niagara River by the Ontario Ministry of the Environment. The basic objective was to determine the relative bioavailability of trace contaminants at various locations in the river, and to identify sources. A recurring difficulty encountered with the generated data is that substantial portions of sample concentrations of many toxic pollutants are below the limits of detection established by analytical laboratories. Under the assumption that the distribution of the data is log normal, the likelihood ratio test for testing the equality of several means for type I censored data is derived and its use for evaluating the spatial variability of trace contaminants in the river is illustrated"--Abstract. Includes abstract and management perspective in English and French. gccst Rivers gccst Pollutants gccst Analysis Kauss, P. B‏., author. Kirby, M. K‏., author. Walsh, M., author. Canada. Environment Canada. National Water Research Institute (Canada). Rivers Research Branch. Canada Centre for Inland Waters. Ontario. Ministry of the Environment. Ontario. Water Resources Branch. NWRI contribution ; 89-119. (CaOODSP)9.844121 PDF 1.10 MB https://publications.gc.ca/collections/collection_2019/eccc/en13-5/En13-5-89-119-eng.pdf