In statistics, large number of rare events (LNRE) modeling summarizes methods that allow improvements in frequency distribution estimation over the maximum likelihood estimation when "rare events are common".[1]

It can be applied to problems in linguistics (see Zipf distribution), in various natural phenomena, in chemistry, in demography and in bibliography, amongst others.[2]

References

  1. ↑ "Statistical estimation for Large Numbers of Rare Events". Department of Linguistics - Home. Retrieved 2019-06-28.
  2. ↑ Giorgi Kvizhinadze (2010). "Large number of rare events:Diversity analysis in multiple choice questionnaires and related topics" (PDF). A thesis submitted to the Victoria University of Wellington. Victoria University of Wellington.


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