Zobrazeno 1 - 10
of 309
pro vyhledávání: '"Autoregressive Moving Average (ARMA)"'
Autor:
James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 30781-30815 (2024)
This study introduced the optimized block bootstrap (OBB), a novel method designed to enhance time series prediction by reducing the number of blocks while maintaining their representativeness. OBB minimized block overlap, resulting in greater comput
Externí odkaz:
https://doaj.org/article/b0692de195964675835c640581c324ba
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39137- (2024)
This paper examines the influence of the new 15 % Value Added Tax (VAT) enforcement on non-financial listed companies in Saudi Arabia. By comparing financial data from 2019, before the VAT implementation and the COVID-19 pandemic, with data from 2020
Externí odkaz:
https://doaj.org/article/cc51f193b3a34dae9553f43d85069030
Publikováno v:
Pilar Nusa Mandiri, Vol 20, Iss 1, Pp 69-74 (2024)
The amount of annual rainfall in the Bengawan Solo watershed causes high water flow (water discharge) in several rivers. In addition, high flow rates significantly increased the water surface level at some observation sites. The Bengawan Solo River b
Externí odkaz:
https://doaj.org/article/9add8fc733064096954d05d296d70a18
Akademický článek
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Autor:
Okon, Emmanuel
Publikováno v:
Global Journal of Business, Economics and Management: Current Issues. 12(2):190-200
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1048100
Publikováno v:
Jambura Journal of Mathematics, Vol 3, Iss 2, Pp 140-154 (2021)
ABSTRAK Seorang investor pada umumnya berharap untuk membeli suatu saham dengan harga yang rendah dan menjual saham tersebut dengan harga yang lebih tinggi untuk memperoleh imbal hasil yang tinggi. Namun, kapan waktu yang tepat melakukannya menjadi
Externí odkaz:
https://doaj.org/article/4f3a83dc26c5403eb9d40e21106943ee
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 5, p 1082 (2023)
As one of the fastest-growing new energy sources, wind power technology has attracted widespread attention from all over the world. In order to improve the quality of wind power generation, wind speed prediction is an indispensable task. In this pape
Externí odkaz:
https://doaj.org/article/85c161a5b0404edd8d2761c886c76133
Publikováno v:
Sensors, Vol 23, Iss 10, p 4905 (2023)
Wind speed prediction is very important in the field of wind power generation technology. It is helpful for increasing the quantity and quality of generated wind power from wind farms. By using univariate wind speed time series, this paper proposes a
Externí odkaz:
https://doaj.org/article/b33fb028848b48e48d3fec5b414faf52
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
A digital twin is a promising evolving tool for prognostic health monitoring. However, in rotating machinery, the transfer function between the rotating components and the sensor distorts the vibration signal, hence, complicating the ability to apply
Externí odkaz:
https://doaj.org/article/72270e09d21c49c2ad58e11e5e09b234
Publikováno v:
IEEE Access, Vol 8, Pp 17071-17079 (2020)
Wind power prediction is the key technology to the safe dispatch and stable operation of power system with large-scale integration of wind power. In this work, based on the historical data of wind power, wind speed and temperature, the autoregressive
Externí odkaz:
https://doaj.org/article/5c64943522e447c7a81e18da75c2307a