| 词条 | Super-Poissonian distribution |
| 释义 |
In mathematics, a super-Poissonian distribution is a probability distribution that has a larger variance than a Poisson distribution with the same mean.[1] Conversely, a sub-Poissonian distribution has a smaller variance. An example of super-Poissonian distribution is negative binomial distribution.[2] The Poisson distribution is a result of a process where the time (or an equivalent measure) between events has an Exponential distribution, representing a memoriless process. References1. ^{{Cite journal | last1 = Zou | first1 = X. | last2 = Mandel | first2 = L. | doi = 10.1103/PhysRevA.41.475 | title = Photon-antibunching and sub-Poissonian photon statistics | journal = Physical Review A | volume = 41 | issue = 1 | pages = 475–476 | year = 1990 | pmid = 9902890| pmc = |bibcode = 1990PhRvA..41..475Z }} {{physics-stub}}2. ^{{Cite journal | last1 = Anders | first1 = Simon | last2 = Huber | first2 = Wolfgang | doi = 10.1186/gb-2010-11-10-r106 | title = Differential expression analysis for sequence count data | journal = Genome Biology | volume = 11 | pages = R106 | year = 2010 }} 2 : Poisson point processes|Types of probability distributions |
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