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Modeling persistence in hydrological time series using fractional differencing
Water Resources Research, 1984The class of autoregressive integrated moving average (ARIMA) time series models may be generalized by permitting the degree of differencing d to take fractional values. Models including fractional differencing are capable of representing persistent series (d > 0) or short‐memory series (d = 0).
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Autoregressive Fractionally Integrated Moving Average or Fractional Differencing
2021openaire +1 more source
Seasonally and Fractionally Differenced Time Series (revised, August 2006) [PDF]
, 2004 This paper deals with a generalized seasonally integrated autoregressive moving average (SARIMA) model, which allows the two differencing parameters to take on fractional values. After investigating the basic properties of the model, we examine the asymptotic properties of the estimators and statistics without assuming normality.
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Fractional Flow Reserve or Intravascular Ultrasonography to Guide PCI
New England Journal of Medicine, 2022Jinlong Zhang, Joo-Yong Hahn, Wenming He
exaly
Editors' introduction: Fractional differencing and long memory processes
Journal of Econometrics, 1996Richard T. Baillie, Maxwell L. King
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Trapped fractional charges at bulk defects in topological insulators
Nature, 2021Christopher W Peterson +2 more
exaly