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Poisson derived the Poisson distribution, published in 1841, by examining the binomial distribution in the [[Limit (mathematics)|limit]] of <math>\textstyle p</math> (to zero) and <math>\textstyle n</math> (to infinity). It only appears once in all of Poisson's work,<ref name="stigler1982poisson">{{cite journal |first=S. M. |last=Stigler |title=Poisson on the Poisson Distribution |journal=Statistics & Probability Letters |volume=1 |issue=1 |pages=33–35 |year=1982 |doi=10.1016/0167-7152(82)90010-4 }}</ref> and the result was not well known during his time. Over the following years others used the distribution without citing Poisson, including [[Philipp Ludwig von Seidel]] and [[Ernst Abbe]].{{sfnp|Daley|Vere-Jones|2003|pages=8–9}}
<ref name="Stirzaker2000" /> At the end of the 19th century, [[Ladislaus Bortkiewicz]] studied the distribution, citing Poisson, using real data on the number of deaths from horse kicks in the [[Prussian army]].<ref name="Good1986" /><ref name="quine1987bortkiewicz">{{cite journal |first1=M. |last1=Quine |author2-link=Eugene Seneta |first2=E. |last2=Seneta |title=Bortkiewicz's data and the law of small numbers |journal=International Statistical Review |volume=55 |issue=2 |pages=173–181 |year=1987 |doi=10.2307/1403193 |jstor=1403193 }}</ref>
===Discovery===
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