Modeling and analysis of binary objects based on group observations

Recieved: 10/23/2024

Accepted: 11/13/2024

Published: 06/20/2025

Keywords: infection rate model, grouped observations, Bernoulli tests, maximum likelihood method, method of moments, ixodid ticks

To cite this article

Belov A.G., Belova O.A. Modeling and analysis of binary objects based on group observations. // Moscow University Journal. Series 15. Computational Mathematics and Cybernetics. 2025. N 2, p.3-14 https://doi.org/10.55959/MSU/0137–0782–15–2025–49–2–3–14.

This work is licensed under a Сreative Commons Atribiution - NonCommercial 4.0 International (CC BY-NC 4.0)

Belov A.G. (Lomonosov Moscow State University (MSU))
Belova O.A. ()

Abstract

In the work on real data, the modeling and assessment of the infection rate of a population of ixodid ticks with tick-borne encephalitis virus and Borrelia burgdorferi sensu lato is carried out using the maximum likelihood and moment methods, and their comparative analysis is given. A review of methods for solving direct and inverse problems of binary object propagation based on individual and group observations is made.