Zobrazeno 1 - 10
of 7 526
pro vyhledávání: '"Autoregressive Moving"'
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
Publikováno v:
Earth, Planets and Space, Vol 75, Iss 1, Pp 1-14 (2023)
Abstract The precise prediction of polar motion parameters is needed for the astrogeodynamics, navigation and positioning of the deep space probe. However, the current prediction methods are limited to predicting polar motion for specific periods, ei
Externí odkaz:
https://doaj.org/article/43ae2b20231c4cf185b77f0323c75286
Publikováno v:
Commodities, Vol 2, Iss 4, Pp 398-416 (2023)
This study analyses a series of live cattle spot and futures prices from the Boi Gordo Index (BGI) in Brazil. The objective is to develop a model that best portrays this commodity’s behaviour to estimate futures prices more accurately. The database
Externí odkaz:
https://doaj.org/article/ff55796633584e80a89a62b95313926f
Publikováno v:
Statistical Theory and Related Fields, Vol 0, Iss 0, Pp 1-18 (2023)
In the paper, the autoregressive moving average model for matrix time series (MARMA) is investigated. The properties of the MARMA model are investigated by using the conditional least square estimation, the conditional maximum likelihood estimation,
Externí odkaz:
https://doaj.org/article/6e0bc9a8abcb4727bfc3d26911709111
Autor:
Loganathan Appaia, Sumithra Palraj
Publikováno v:
EQA, Vol 53, Pp 1-10 (2023)
Presence of missing values and occurrence of outliers in time series cause many hindrances in the analysis of data. Several methods are proposed for determining estimates to replace the missing values and outliers. Mean, median, the largest order sta
Externí odkaz:
https://doaj.org/article/033699f0c7cf4c92b36bf72c6e40fde7
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1304 (2024)
Detecting anomalies in large, complex systems is a critical and challenging task, and this is especially true for high-dimensional anomaly detection due to the underlying dependency structures among sensors. To incorporate the interrelationships amon
Externí odkaz:
https://doaj.org/article/1ee0c5e800414e49bb6c74065f3db76c
Publikováno v:
Healthcare Analytics, Vol 4, Iss , Pp 100262- (2023)
This study presents the effective utilization of data analysis in efficiently managing medical resources — a crucial factor in ensuring high-quality healthcare delivery and positive patient outcomes. We employ a multiplicative Holt-Winters model an
Externí odkaz:
https://doaj.org/article/b0b06b1fbde64972a633a2549b8215d5