Geodesic
Algorithm for finding the moment of a trend change in the time series of meteorological variables
Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 3 (2019), pp. 74-89

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An algorithm is proposed for finding the bifurcation point in a time series, and its implementation is performed over time series of air temperatures. The influence of the measurement error on the stability of finding the bifurcation point is simulated.
Keywords: time series of meteorological quantities, time series analysis, time trend
Mots-clés : bifurcation point. 
@article{VTPMK_2019_3_a5,
     author = {A. Kuznetsov and A. G. Saenko and O. Serouhova and T. Simakina},
     title = {Algorithm for finding the moment of a trend change in the time series of meteorological variables},
     journal = {Vestnik Tverskogo gosudarstvennogo universiteta. Seri\^a Prikladna\^a matematika},
     pages = {74--89},
     publisher = {mathdoc},
     number = {3},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VTPMK_2019_3_a5/}
}
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A. Kuznetsov; A. G. Saenko; O. Serouhova; T. Simakina. Algorithm for finding the moment of a trend change in the time series of meteorological variables. Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 3 (2019), pp. 74-89. http://geodesic.mathdoc.fr/item/VTPMK_2019_3_a5/