Abstract
Abstract: The article deals with the problem of estimating the parameters of a tapered Paretodistribution. Using the moment method, we obtain new estimates depending on an additionalparameter. 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 wayof example, an application of the new estimates to the COVID-19 incidence data is given. A newalgorithm for a random variable generator with a tapered Pareto distribution is proposed.
| Original language | English |
|---|---|
| Pages (from-to) | 1358-1377 |
| Number of pages | 20 |
| Journal | Automation and Remote Control |
| Volume | 82 |
| Issue number | 8 |
| DOIs | |
| State | Published - 1 Aug 2021 |
| Externally published | Yes |
Keywords
- COVID-19 incidence
- maximum likelihood estimates
- moment method estimates
- parameter estimation
- tapered Pareto distribution
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
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