Zobrazeno 1 - 10
of 1 151
pro vyhledávání: '"arfima"'
Autor:
Gutierrez-Barroso Josue, Báez-García Alberto Javier, Flores-Muñoz Francisco, Ruiz Medina Luis Javier, Trujillo González Juan Vianney, Padrón-Armas Ana Goretty
Publikováno v:
Central European Journal of Public Policy, Vol 18, Iss 1, Pp 24-36 (2024)
Google Trends, despite its controversial nature for some authors, can be considered an illustrative tool in exploring the political inclinations of a given audience. In the current European Union context, understanding the views and opinions of the p
Externí odkaz:
https://doaj.org/article/44bbdcca35cb4690851e0d8f570d52d7
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 1, Pp 198-206 (2024)
The Autoregressive Fractionally Integrated Moving Average (ARFIMA) model is a development of the ARIMA model with the differencing values being fractional numbers. This study aims to model ARFIMA on rainfall activity data in the city of Medan w
Externí odkaz:
https://doaj.org/article/038f1fb7cc144dcfae1f21f88b650a99
Autor:
İpek Yurttagüler
Publikováno v:
Ekonomi, Politika & Finans Araştırmaları Dergisi, Vol 9, Iss 1, Pp 123-139 (2024)
Son yıllarda, para piyasalarında ve bankacılık sektöründe yaşanan krizlerin etkisiyle merkezi para otoritelerine olan güven sarsılmış ve bu nedenle merkezi olmayan bir sistem arayışına girilmiştir. Bu vesile ile, 1998 yılında ilk kri
Externí odkaz:
https://doaj.org/article/6d74fae0828e462296e6d4851a5bf2a9
Autor:
Yongbin Wang, Siyu Qing, Xianxiang Lan, Lun Li, Peiping Zhou, Yue Xi, Ziyue Liang, Chenguang Zhang, Chunjie Xu
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background The long-term impact of COVID-19-associated public health interventions on zoonotic and vector-borne infectious diseases (ZVBs) remains uncertain. This study sought to examine the changes in ZVBs in China during the COVID-19 pande
Externí odkaz:
https://doaj.org/article/6941ec5e218e495dbf1abef73ce98424
Publikováno v:
Frontiers in Big Data, Vol 6 (2024)
Inflation is capable of significantly impacting monetary policy, thereby emphasizing the need for accurate forecasts to guide decisions aimed at stabilizing inflation rates. Given the significant relationship between inflation and monetary, it become
Externí odkaz:
https://doaj.org/article/57e1701a66d94cd8809724ca49758fde
Publikováno v:
Jurnal Lebesgue, Vol 4, Iss 2, Pp 1184-1190 (2023)
Long-memory is a type of time series data that has a high correlation between long observation times. This can be seen from the autocorrelation function where the lag falls slowly over a long period. Such long-memory data can be modeled in the form o
Externí odkaz:
https://doaj.org/article/8a7a63625db0403e9668930e211dc700
Autor:
Clément Roume
Publikováno v:
Frontiers in Network Physiology, Vol 3 (2023)
The assessment of physiological complexity via the estimation of monofractal exponents or multifractal spectra of biological signals is a recent field of research that allows detection of relevant and original information for health, learning, or aut
Externí odkaz:
https://doaj.org/article/6f9e8d76ef9a4afa89ef2b57c2f1491b
Autor:
Do Thi Van Trang, Jo-Hui Chen
Publikováno v:
International Journal of Energy Economics and Policy, Vol 13, Iss 3 (2023)
This paper aims to investigatethe long-memory properties of four carbon indexes by utilizing the autoregressive frictionally integrated moving average–fractionally integrated general autoregressive conditional heteroskedasticity models. First, this
Externí odkaz:
https://doaj.org/article/fac65c756a4a458f8d88da269a84d3c7
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