Results 131 to 140 of about 2,441 (205)

Forecasting COVID-19 pandemic using optimal singular spectrum analysis. [PDF]

Chaos Solitons Fractals, 2021
Kalantari M.
europepmc   +1 more source

Multifractal Dynamics in Executive Control When Adapting to Concurrent Motor Tasks. [PDF]

Front Physiol, 2021
Arsac LM.
europepmc   +1 more source

Forecasting Acute Hemorrhagic Conjunctivitis Incidence in Henan, China: A Comparative Study of Seasonal Autoregressive Fractionally Integrated Moving Average and Seasonal Autoregressive Integrated Moving Average Models. [PDF]

Risk Manag Healthc Policy
Wang Y, Zhao R, Liu W, Lin F, Xu C.
europepmc   +1 more source

Understanding the Nature of the Long-Range Memory Phenomenon in Socioeconomic Systems. [PDF]

Entropy (Basel), 2021
Kazakevičius R, Kononovicius A, Kaulakys B, Gontis V.   +3 more
europepmc   +1 more source

Application of an ARFIMA Model to Estimate Hepatitis C Epidemics in Henan, China. [PDF]

Am J Trop Med Hyg
Wang Y, Liang Z, Qing S, Liu X, Xu C.
europepmc   +1 more source

Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals. [PDF]

Front Neurosci
Stylianou O, Susi G, Hoffmann M, Suárez-Méndez I, López-Sanz D, Schirner M, Ritter P.   +6 more
europepmc   +1 more source

Statistical and data visualization techniques to study the role of one-electron in the energy of neutral and charged clusters of Na₃₉. [PDF]

Sci Rep
Ghazi SM, Mahmoudi M.
europepmc   +1 more source

Modelling for the Wavelet Coefficients of ARFIMA Processes

Modelling for the Wavelet Coefficients of ARFIMA Processes
February 2013 We consider the model for the discrete nonboundary wavelet coefficients of ARFIMA processes. Although many authors have explained the utility of the wavelet transform for the long dependent processes in semiparametrical literature, there have been a few studies in parametric setting.
openaire   +1 more source

International Tourist Arrivals In Thailand: Forecasting With Arfima-Figarch Approach

Forecasting is an essential analytical tool for tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q)-FIGARCH(p,d,q).
Prasert Chaitip, Jittaporn Sriboonjit, Kanchana Chokethaworn, Chukiat Chaiboonsri, Thanes Sriwichailamphan, Songsak Sriboonchitta   +5 more
core  

Fractional-order state space reconstruction: a new frontier in multivariate complex time series. [PDF]

Sci Rep
Xie J, Xu G, Chen X, Zhang X, Chen R, Yang Z, Fang C, Tian P, Wu Q, Zhang S.   +9 more
europepmc   +1 more source