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Poisson distribution

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A statistical method developed by the 18th century French mathematician S. D. Poisson, which is used for predicting the probable distribution of a series of events. For example, when the average transaction volume in a communications system can be estimated, Poisson distribution is used to determine the probable minimum and maximum number of transactions that can occur within a given time period.


(mathematics)Poisson distribution - A probability distribution used to describe the occurrence of unlikely events in a large number of independent trials.

Poisson distributions are often used in building simulated user loads.


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Incidence rates of respiratory diagnoses per 100 person-years of follow-up were calculated with 95% confidence intervals (CIs) based on Poisson distribution.
Because correlation existed in the repeated measures for each subject over the study period, the Poisson distribution assumption was violated in this study.
12 54 46-63 (n = 939) (b) 137 123-152 268 247-290 494 462-526 685 648-723 813 772-854 1,031 983-1,079 1,186 1,132-1,241 463 (c) 454-474 (a) The 95% posterior HDRs were calculated assuming Poisson distribution of the cases and a vague gamma (0.
 
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