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| 02156cam 2200373za 4500 |
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| 001 | 9.849363 |
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| 003 | CaOODSP |
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| 005 | 20221107153911 |
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| 007 | cr ||||||||||| |
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| 008 | 180102s1986 onca|||fob f|00 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aEn13-5/86-19E-PDF |
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| 100 | 1 |aEl-Shaarawi, A. H. |
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| 245 | 10|aApplication of Poisson regression to the analysis of bacteriological data |h[electronic resource] / |cA.H. El-Shaarawi, A. Maul, J.C. Block. |
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| 260 | |aBurlington, Ont. : |bNational Water Research Institute, Canada Centre for Inland Waters, |c[1986]. |
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| 300 | |a17, [5] p. : |bill. |
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| 490 | 1 |aNWRI ; |v# 86-19 |
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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 | 0 |a"This paper presents and suggests the use of Poisson regression analysis for modelling the association between bacterial counts observed in a drinking water distribution system and a set of explanatory variables. When the dependent variable is a count that follows the Poisson distribution, the procedure developed in this work is much more appropriate than thee conventional method of applying ordinary regression analysis after transforming the counts using the square root transformation, since such a transformation may not satisfy all the conditions needed for performing regression. A detailed description of the procedure used for calculating the maximum likelihood estimates of the unknown parameters of the model and their standard errors is given"--Summary. |
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| 546 | |aIncludes summary in French. |
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| 692 | 07|2gccst|aModelling |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aWater quality |
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| 700 | 1 |aMaul, A. |
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| 700 | 1 |aBlock, Jean-Claude. |
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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 ;|vno. 86-19|w(CaOODSP)9.844121 |
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| 856 | 40|qPDF|s1.22 MB|uhttps://publications.gc.ca/collections/collection_2018/eccc/En13-5-86-19-eng.pdf |
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