Application of Poisson regression to the analysis of bacteriological data / A.H. El-Shaarawi, A. Maul, J.C. Block. : En13-5/86-19E-PDF

"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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publications.gc.ca/pub?id=9.849363&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Environment Canada.
National Water Research Institute (Canada)
Titre Application of Poisson regression to the analysis of bacteriological data / A.H. El-Shaarawi, A. Maul, J.C. Block.
Titre de la série NWRI ; # 86-19
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Digitized edition from print [produced by Environment and Climate Change Canada].
Includes bibliographical references.
Includes summary in French.
Information sur la publication Burlington, Ont. : National Water Research Institute, Canada Centre for Inland Waters, [1986].
Auteur / Contributeur El-Shaarawi, A. H.
Maul, A.
Block, Jean-Claude.
Description 17, [5] p. : ill.
Numéro de catalogue
  • En13-5/86-19E-PDF
Descripteurs Modelling
Statistical analysis
Water quality
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