S.B, Iskandarov and J.J, Asirov and U.M, Sobirov and Q.A, Axmedov (2026) Practical Estimation and Simulation Analysis of the Kolmogorov Constant for Heavy-Tailed Noncritical Markov Branching Systems. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 7 (3). ISSN 2660-5309

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Abstract

This paper presents a practical estimation and simulation-based study of the Kolmogorov constant in the context of heavy-tailed, noncritical continuoustime Markov branching systems. Building on the explicit analytic form recently derived for noncritical Markov branching models, we investigate the empirical behaviour of the survival probability and related asymptotic quantities under heavy-tailed offspring distributions using Monte Carlo simulation techniques.

Item Type:	Article
Uncontrolled Keywords:	Kolmogorov Constant, Heavy-Tailed Offspring Distribution, Monte Carlo Simulation, Continuous-Time Markov Branching Process, Survival Probability Asymptotics
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	26 Oct 2026 12:01
Last Modified:	26 Oct 2026 12:01
URI:	http://eprints.umsida.ac.id/id/eprint/17281

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