| Poisson distribution |
a theoretical distribution that is a good approximation to the binomial distribution when the probability is small and the number of trials is large
출처: wordnet.princeton.edu/perl/webwn
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| Poisson distribution |
{{Probability distribution| name =Poisson| type =mass| pdf_image =The horizontal axis is the index k. (Note that the function is only defined at integer values of k. The connecting lines do not indicate continuity.)| cdf_image =The horizontal axis is the index k. (Note that the function is only defined at integer values of k. The connecting lines do not indicate continuity. ...
출처: en.wikipedia.org/wiki/Poisson_distribution
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| Poisson distribution |
A one-parameter, discrete frequency distribution giving the probability that n points (or events) will be (or occur) in an interval (or time) x, provided that these points are individually independent and that the number occurring in a subinterval does not influence the number occurring in any other nonoverlapping subinterval. It has the form P(n, x) = e - x ( x) n /n!. The mean and variance are both x, and is the average density (or rate) with which the events occur. ...
출처: amsglossary.allenpress.com/glossary/browse
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| Poisson distribution |
A mathematical expression giving the probability of observing various numbers of a particular event in a sample when the mean probability of that event on any one trial is very small.
출처: helios.bto.ed.ac.uk/bto/glossary/p.htm
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| Poisson distribution |
A poisson distribution is a distribution of random occurrences in which one occurrence has no influence on any other occurrence. The variance of a poisson distribution is equal to its mean and therefore the standard deviation is equal to the square root of the mean of the distribution. Radioactive decay measurements follow a poisson distribution and therefore have a lower measurement error when more counts are accumulated.
출처: www.brendan.com/Glossary.htm
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