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

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Abstract

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.

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Authors and Affiliations

  1. Izrael Institute of Global Climate and Ecology, 107258, Moscow, Russia

    N. Yu. Dobrolyubov, S. M. Semenov & A. Yu. Bogdanovich

  2. Institute of Geography, Russian Academy of Sciences, 119017, Moscow, Russia

    S. M. Semenov

  3. Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia

    E. M. Volodin

Authors
  1. N. Yu. Dobrolyubov
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  2. S. M. Semenov
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  3. E. M. Volodin
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  4. A. Yu. Bogdanovich
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Corresponding author

Correspondence to S. M. Semenov.

Additional information

Translated from Meteorologiya i Gidrologiya, 2023, No. 10, pp. 16-24. https://doi.org/10.52002/0130-2906-2023-10-16-24.

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Dobrolyubov, N.Y., Semenov, S.M., Volodin, E.M. et al. Algebraic Algorithm for Statistical Estimation of the Binomial Distribution Parameter and an Example of Its Application in a Global Geoinformation Task of Applied Climatology. Russ. Meteorol. Hydrol. 48, 837–844 (2023). https://doi.org/10.3103/S1068373923100023

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  • DOI: https://doi.org/10.3103/S1068373923100023

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