Erlang Loss Formulas: An Elementary Derivation

dc.contributor.authorSarkar, Jyotirmoy
dc.contributor.departmentMathematical Sciences, School of Scienceen_US
dc.date.accessioned2023-03-10T21:16:25Z
dc.date.available2023-03-10T21:16:25Z
dc.date.issued2021-08
dc.description.abstractThe celebrated Erlang loss formulas, which express the probability that exactly j of c available channels/servers are busy serving customers, were discovered about 100 years ago. Today we ask: “What is the simplest proof of these formulas?” As an alternative to more advanced methods, we derive the Erlang loss formulas using (1) an intuitive limit theorem of an alternating renewal process and (2) recursive relations that are solved using mathematical induction. Thus, we make the Erlang loss formulas comprehensible to beginning college mathematics students. We illustrate decision making in some practical problems using these formulas and other quantities derived from them.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationSarkar, J. (2021). Erlang Loss Formulas: An Elementary Derivation. In B. K. Sinha & Md. N. H. Mollah (Eds.), Data Science and SDGs: Challenges, Opportunities and Realities (pp. 165–176). Springer. https://doi.org/10.1007/978-981-16-1919-9_14en_US
dc.identifier.issn9789811619182 9789811619199en_US
dc.identifier.urihttps://hdl.handle.net/1805/31834
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/978-981-16-1919-9_14en_US
dc.relation.journalData Science and SDGs: Challenges, Opportunities and Realitiesen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectAlternating renewal processen_US
dc.subjectErgodicityen_US
dc.subjectSemi-Markov processen_US
dc.subjectQueuing systemen_US
dc.titleErlang Loss Formulas: An Elementary Derivationen_US
dc.typeArticleen_US
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