Работы, цитирующие эту работу

Работ: 5

Работа: On the Application of Slowly Varying Functions with Remainder in the Theory of Markov Branching Processes with Mean One and Infinite Variance

1. On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments

   Азам А. Имомов, Abror Khujanazarovich Meyliev

   СтатьяStochastic processes and statistical mechanicsUfimskii Matematicheskii Zhurnal2021Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.264649

2. Monotone Ratio theorem convergence rate and its consequences in the theory of continuous-time Markov branching systems

   Азам А. Имомов, Misliddin Murtazaev

   ПрепринтStochastic processes and statistical mechanicsResearch Square2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000069

3. Refined Limit Theorems for the Critical Continuous-Time Markov Branching Systems

   Азам А. Имомов, Misliddin Murtazaev

   ГлаваStochastic processes and statistical mechanicsCommunications in computer and information science2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.chapter.000213

4. On Properties of Karamata Slowly Varying Functions with Remainder and Their Applications

   Азам А. Имомов, Erkin E. Tukhtaev, János Sztrik

   Препринтadvanced mathematical theoriesPreprints.org2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.preprint.000183

5. On Application of Karamata Slowly Varying Functions in the Theory of Noncritical Markov Branching Systems

   Азам А. Имомов, Zuhriddin A. Nazarov

   ГлаваStochastic processes and statistical mechanicsCommunications in computer and information science2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.chapter.000241