Time Series Analysis Software

Time Series Analysis Software is a specialized statistical software system designed to enable the modeling, analysis, and forecasting of temporal data sequences through dedicated algorithms and methodologies for detecting patterns, trends, seasonality, and autocorrelation structures inherent in time-dependent observations.

134

Publications

18.6K

Citations

349

Authors

166

Institutions

Publications per year

2017–2026

43

Authors

349

  1. AN
    A. N. Nikolsky

    Schmidt Institute of Physics of the Earth, Russia

    3 publications · 88 citations

    3

    h-index

  2. AY
    A. Ya. Sidorin

    Schmidt Institute of Physics of the Earth, Russia

    3 publications · 88 citations

    3

    h-index

  3. VI
    V. I. Zhuravlev

    Lomonosov Moscow State University, Russia

    3 publications · 88 citations

    3

    h-index

  4. EA
    Enders A. Robinson

    American Association of Petroleum Geologists, United States

    3 publications · 288 citations

    3

    h-index

  5. AV
    A. V. Desherevskii

    Schmidt Institute of Physics of the Earth, Russia

    3 publications · 88 citations

    3

    h-index

1–5 of 349

Venues

  1. Technometrics

    6 publications · 544 citations

    6

    h-index

  2. Journal of Statistical Software

    JSS · 6 publications · 289 citations

    6

    h-index

  3. GPS Solutions

    6 publications · 697 citations

    6

    h-index

  4. International Journal of Forecasting

    5 publications · 234 citations

    5

    h-index

  5. Environmental Modelling & Software

    4 publications · 393 citations

    4

    h-index

1–5