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| 02213nam 2200421zi 4500 |
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001 | 9.867793 |
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003 | CaOODSP |
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005 | 20221107162416 |
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006 | m o d f |
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007 | cr nn||||||||| |
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008 | 190130s1987 oncab ob f000 0 eng d |
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040 | |aCaOODSP|beng|erda|cCaOODSP |
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041 | |aeng|bfre |
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043 | |an-cn-on|an-cn-ny |
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086 | 1 |aEn13-5/87-35E-PDF |
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100 | 1 |aEl-Shaarawi, A. H., |eauthor. |
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245 | 10|aParametric and nonparametric tests for dependent data / |cby A.H. El-Shaarawi and Eivind Damsleth. |
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264 | 1|aBurlington, Ontario : |bNational Water Research Institute, Canada Centre for Inland Waters, |c1987. |
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300 | |a1 online resource (12 pages, 14 unnumbered pages) : |billustrations, map. |
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336 | |atext|btxt|2rdacontent |
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337 | |acomputer|bc|2rdamedia |
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338 | |aonline resource|bcr|2rdacarrier |
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490 | 1 |aNWRI contribution ; |v87-35 |
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500 | |aCover title. |
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500 | |a"Control no. AP267." |
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500 | |a"January 1987." |
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500 | |aDigitized edition from print [produced by Environment and Climate Change Canada]. |
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504 | |aIncludes bibliographical references. |
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520 | 3 |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. |
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546 | |aIncludes abstract and summary in French. |
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693 | 4|aWater--Pollution--Niagara River (N.Y. and Ont.) |
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693 | 4|aStatistical hypothesis testing |
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700 | 1 |aDamsleth, Eivind, |eauthor. |
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710 | 1 |aCanada. |bEnvironment Canada. |
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710 | 2 |aNational Water Research Institute (Canada) |
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830 | #0|aNWRI contribution ;|v87-35.|w(CaOODSP)9.844121 |
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856 | 40|qPDF|s1.25 MB|uhttps://publications.gc.ca/collections/collection_2019/eccc/En13-5-87-35-eng.pdf |
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