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".
It can be applied to problems in linguistics (see Zipf distribution), in various natural phenomena, in chemistry, in demography and in bibliography, amongst others.
References
- "Statistical estimation for Large Numbers of Rare Events". Department of Linguistics - Home. Retrieved 2019-06-28.
- 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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