Algebraic Algorithm for Statistical Estimation of the Binomial Distribution Parameter and an Example of Its Application in a Global Geoinformation Task of Applied Climatology

The binomial distribution is often used in modeling, including in applied climatology, when assessing the likelihood of adverse or dangerous climate-related impacts. The article outlines an algebraic algorithm for obtaining such estimates based on climate monitoring data or modeling data. Using only...

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Bibliographic Details
Published in:Russian meteorology and hydrology 2023-10, Vol.48 (10), p.837-844
Main Authors: Dobrolyubov, N. Yu, Semenov, S. M., Volodin, E. M., Bogdanovich, A. Yu
Format: Article
Language:English
Subjects:
Algebra
Algorithms
Applied climatology
Atmospheric Sciences
Climate
Climate models
Climate monitoring
Climatology
Distribution
Earth and Environmental Science
Earth Sciences
Global climate
Insects
Meteorology
Modelling
Statistical analysis
Citations: Items that this one cites
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Summary:The binomial distribution is often used in modeling, including in applied climatology, when assessing the likelihood of adverse or dangerous climate-related impacts. The article outlines an algebraic algorithm for obtaining such estimates based on climate monitoring data or modeling data. Using only algebraic operations in calculations minimizes calculation time, which is important when performing detailed global assessments. As an example of such a calculation, the result of an assessment of the global climatic range of a dangerous insect pest of forest and garden trees and shrubs, the gypsy moth, is given.
ISSN:1068-3739
1934-8096
DOI:10.3103/S1068373923100023