Zobrazeno 1 - 10
of 381
pro vyhledávání: '"Autoregressive integrated moving average model"'
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Since December 2019, COVID-19 has spread rapidly around the world, and studies have shown that measures to prevent COVID-19 can largely reduce the spread of other infectious diseases. This study explored the impact of the COVID-19
Externí odkaz:
https://doaj.org/article/def37ddbc6914706a0e0b7a06574a220
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 3, Pp 949-961 (2024)
Abstract The considerable influence of crude oil prices on the international economy has motivated numerous scholars to develop various prediction models. Two difficulties are encountered in forecasting. One is that the time series of crude oil price
Externí odkaz:
https://doaj.org/article/760706ceaadb421bb147bb7b20186edf
Publikováno v:
Shipin Kexue, Vol 45, Iss 3, Pp 176-184 (2024)
In view of the drawback of traditional deterministic prediction that it cannot provide uncertainty information, this study proposed a prediction model that integrates point estimation and interval estimation, and innovatively applied it to the field
Externí odkaz:
https://doaj.org/article/910136385bdc42ac8ee44622f0a41645
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 3, Pp 1119-1130 (2024)
Electricity prices have complex features, such as high frequency, multiple seasonality, and nonlinearity. These factors will make the prediction of electricity prices difficult. However, accurate electricity price prediction is important for energy p
Externí odkaz:
https://doaj.org/article/64ec89feeb5b4ebfbe70d498103387d8
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The online prediction of power system dynamic frequency helps to guide the choice of control measures quickly and accurately after a disturbance, and this then ensures the reliable and stable operations of a power system. However, the prediction perf
Externí odkaz:
https://doaj.org/article/ddf893b904b540e3873c81ad463dc858
Autor:
Maurice Wanyonyi
Publikováno v:
Media Statistika, Vol 15, Iss 2, Pp 117-128 (2023)
The manufacturing sector is considered a pivotal contributor to the growth of the economy around the globe. Kenya relies on the manufacturing sector to generate revenue and ultimately enhance the growth of the economy. Despite the key purpose played
Externí odkaz:
https://doaj.org/article/a82b51629eb649ed82e15c4356b75aee
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 2, Pp 116-121 (2023)
ObjectiveTo predict the incidence trend of influenza-like illness proportion (ILI%) in Shanghai using the seasonal autoregressive integrated moving average model (SARIMA), and to provide an important reference for timely prevention and cont
Externí odkaz:
https://doaj.org/article/616819fdcea94037ac0586ec050575a7
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-21 (2022)
Abstract Background To forecast the human immunodeficiency virus (HIV) incidence and mortality of post-neonatal population in East Asia including North Korea, South Korea, Mongolia, Japan and China Mainland and Taiwan province. Methods The data on th
Externí odkaz:
https://doaj.org/article/4b087aebc9164ca79af75d483e970817
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Objective To describe the temporal trend of the number of new congenital heart disease (CHD) cases among newborns in Jinhua from 2019 to 2020 and explored an appropriate model to fit and forecast the tendency of CHD. Methods Data on CHD from
Externí odkaz:
https://doaj.org/article/0c39c3c2aae646dfa4a1f6b6708da78d
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 9, Pp 134-139 (2022)
The single gas prediction model has weak capability in mining all characteristics of the mine gas concentration time sequence. In order to solve the problem, a combined prediction model based on autoregressive intergrated moving average (ARIMA) model
Externí odkaz:
https://doaj.org/article/83f91b3baf7344649c7782625869aec5