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  1. Numerical Stochastic Model of Non-stationary Time Series of the Wind Chill Index

    Kargapolova, N., Mar 2021, In: Methodology and Computing in Applied Probability. 23, 1, p. 257-271 15 p., 2.

    Research output: Contribution to journal › Article › peer-review

  2. Numerical study of properties of air heat content indicators based on stochastic models of the joint meteorological series

    Kargapolova, N. A., Khlebnikova, E. I. & Ogorodnikov, V. A., 1 Apr 2019, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 34, 2, p. 95-104 10 p.

    Research output: Contribution to journal › Article › peer-review

  3. Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia

    Kargapolova, N. & Ogorodnikov, V., Sept 2022, In: Methodology and Computing in Applied Probability. 24, 3, p. 1467-1483 17 p.

    Research output: Contribution to journal › Article › peer-review

  4. Stochastic model of spatial fields of the average daily wind chill index

    Kargapolova, N., 1 Apr 2020, In: Information (Switzerland). 11, 4, 13 p., 177.

    Research output: Contribution to journal › Article › peer-review

  5. Stochastic model of the joint time-series of air temperature and atmospheric pressure

    Kargapolova, N. A., 1 Jan 2018, 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018. Limere, V. & Claeys, D. (eds.). EUROSIS, p. 199-204 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Stochastic models of joint non-stationary time-series of air temperature, relative humidity and atmospheric pressure

    Kargapolova, N. A., Khlebnikova, E. I. & Ogorodnikov, V. A., 2021, In: Communications in Statistics: Simulation and Computation. 50, 12, p. 3972-3983 12 p.

    Research output: Contribution to journal › Article › peer-review

  7. Stochastic models of non-stationary time series of the average daily heat index

    Kargapolova, N., 1 Jan 2019, SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Obaidat, M., Obaidat, M., Oren, T. & Szczerbicka, H. (eds.). SciTePress, p. 209-215 7 p. (SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Stochastic Simulation of Meteorological Non-Gaussian Joint Time-Series

    Kargapolova, N., 1 Jan 2019, Simulation and Modeling Methodologies, Technologies and Applications - 7th International Conference, SIMULTECH 2017, Revised Selected Papers. Springer, p. 117-127 11 p. (Advances in Intelligent Systems and Computing; vol. 873).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Stochastic simulation of non-stationary meteorological time-series daily precipitation indicators, maximum and minimum air temperature simulation using latent and transformed Gaussian processes

    Kargapolova, N., 1 Jan 2017, SIMULTECH 2017 - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. De Rango, F., Oren, T. & Obaidat, M. S. (eds.). SciTePress, p. 173-179 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Stochastic simulation of the spatio-temporal field of the average daily heat index in southern Russia

    Kargapolova, N., 2020, In: Climate Research. 82, p. 149-160 12 p.

    Research output: Contribution to journal › Article › peer-review

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