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Entropies of the Poisson Distribution as Functions of Intensity: "Normal" and "Anomalous" Behavior
Swansea Univ, Dept Math, Swansea SA1 8EN, Wales..
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.ORCID iD: 0000-0002-0139-0747
Taras Shevchenko Natl Univ Kyiv, Dept Probabil Theory & Math Stat, 64 Volodymyrska, UA-01601 Kyiv, Ukraine..
Taras Shevchenko Natl Univ Kyiv, Dept Probabil Theory & Math Stat, 64 Volodymyrska, UA-01601 Kyiv, Ukraine.;Univ Vaasa, Sch Technol & Innovat, POB 700, FIN-65101 Vaasa, Finland..
2025 (English)In: Methodology and Computing in Applied Probability, ISSN 1387-5841, E-ISSN 1573-7713, Vol. 27, no 2, article id 45Article in journal (Refereed) Published
Abstract [en]

The paper extends the analysis of the entropies of the Poisson distribution with parameter λ. It demonstrates that the Tsallis and Sharma–Mittal entropies exhibit monotonic behavior with respect to λ, whereas two generalized forms of the Rényi entropy may exhibit “anomalous” (non-monotonic) behavior. Additionally, we examine the asymptotic behavior of the entropies as λ→∞ and provide both lower and upper bounds for them.

Place, publisher, year, edition, pages
SPRINGER , 2025. Vol. 27, no 2, article id 45
Keywords [en]
Shannon entropy, R & eacute, nyi entropy, Tsallis entropy, Sharma-Mittal entropy, Poisson distribution
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-71596DOI: 10.1007/s11009-025-10171-9ISI: 001493774800001Scopus ID: 2-s2.0-105005774950OAI: oai:DiVA.org:mdh-71596DiVA, id: diva2:1963823
Available from: 2025-06-04 Created: 2025-06-04 Last updated: 2026-04-13Bibliographically approved

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Malyarenko, Anatoliy

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