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This article is cited in 3 scientific papers (total in 3 papers)
Stochastic Systems
Estimating the parameters of a tapered Pareto distribution
M. Vaičiulisa, N. M. Markovichb a Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, 2600 Lithuania
b Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia
Abstract:
The article deals with the problem of estimating the parameters of a tapered Pareto distribution. Using the moment method, we obtain new estimates depending on an additional parameter. We prove that the joint asymptotic distribution of these estimates is Gaussian. A procedure is proposed that permits one to choose the additional parameter in an optimal way. The new estimates are compared with the corresponding maximum likelihood estimates. By way of example, an application of the new estimates to the COVID-19 incidence data is given. A new algorithm for a random variable generator with a tapered Pareto distribution is proposed.
Keywords:
tapered Pareto distribution, parameter estimation, moment method estimates, maximum likelihood estimates, COVID-19 incidence.
Citation:
M. Vaičiulis, N. M. Markovich, “Estimating the parameters of a tapered Pareto distribution”, Avtomat. i Telemekh., 2021, no. 8, 85–107; Autom. Remote Control, 82:8 (2021), 1358–1377
Linking options:
https://www.mathnet.ru/eng/at15603 https://www.mathnet.ru/eng/at/y2021/i8/p85
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Abstract page: | 212 | Full-text PDF : | 19 | References: | 43 | First page: | 29 |
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