000 02213nam  2200421zi 4500
0019.867793
003CaOODSP
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006m     o  d f      
007cr nn|||||||||
008190130s1987    oncab   ob   f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|bfre
043 |an-cn-on|an-cn-ny
0861 |aEn13-5/87-35E-PDF
1001 |aEl-Shaarawi, A. H., |eauthor.
24510|aParametric and nonparametric tests for dependent data / |cby A.H. El-Shaarawi and Eivind Damsleth.
264 1|aBurlington, Ontario : |bNational Water Research Institute, Canada Centre for Inland Waters, |c1987.
300 |a1 online resource (12 pages, 14 unnumbered pages) : |billustrations, map.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aNWRI contribution ; |v87-35
500 |aCover title.
500 |a"Control no. AP267."
500 |a"January 1987."
500 |aDigitized edition from print [produced by Environment and Climate Change Canada].
504 |aIncludes bibliographical references.
5203 |a"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.
546 |aIncludes abstract and summary in French.
693 4|aWater--Pollution--Niagara River (N.Y. and Ont.)
693 4|aStatistical hypothesis testing
7001 |aDamsleth, Eivind, |eauthor.
7101 |aCanada. |bEnvironment Canada.
7102 |aNational Water Research Institute (Canada)
830#0|aNWRI contribution ;|v87-35.|w(CaOODSP)9.844121
85640|qPDF|s1.25 MB|uhttps://publications.gc.ca/collections/collection_2019/eccc/En13-5-87-35-eng.pdf