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- W2991874579 abstract "The influence of solar activity on climate system at regional or global scales cannot be neglected. In this study, we will stimulate full-length sunspot time series (1932–2014) and all four Hale cycles by fractional auto regressive integrated moving average (FARIMA ([Formula: see text], [Formula: see text], [Formula: see text])) model. By minimizing Akaike information criterion (AIC), Bayesian–Schwarz information criterion (BIC) and Hannan–Quinn information criterion (HIC), the best FARIMA model for full-length sunspot time series is [Formula: see text] where [Formula: see text] is the back shift operator and [Formula: see text] is a white noise." @default.
- W2991874579 created "2019-12-13" @default.
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- W2991874579 date "2019-12-01" @default.
- W2991874579 modified "2023-10-17" @default.
- W2991874579 title "FARIMA MODELING OF SUNSPOT HALE CYCLES TIME SERIES" @default.
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- W2991874579 doi "https://doi.org/10.1142/s2630534819500086" @default.
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