title: Likelihood-based modeling and analysis of data underdispersed relative to the Poisson distribution.
abstract: By using a generalization of the Poisson process, distributions can be constructed that show appropriate amounts of underdispersion relative to the Poisson distribution that may be apparent from observed data. These are then used to examine the differences between the distributions of numbers of fetal implants in mice corresponding to different doses of the herbicide 2,4,5-T.
authors: Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand. mfaddy@for.mat.bham.ac.uk
authors: M J
authors: MJ
authors: Faddy
authors: R J
authors: RJ
authors: Bosch
mesh_terms: D015085:2,4,5-Trichlorophenoxyacetic Acid / Q000633:toxicity; D000818:Animals; D016009:Chi-Square Distribution; D003627:Data Interpretation, Statistical; D010064:Embryo Implantation / Q000187:drug effects; D005260:Female; D006540:Herbicides / Q000494:pharmacology; D016013:Likelihood Functions; D051379:Mice; D016012:Poisson Distribution; D011247:Pregnancy; D012984:Software
chemical_list: D006540:Herbicides; D015085:2,4,5-Trichlorophenoxyacetic Acid