Results 11 to 20 of about 13,873,042 (261)
EMD-GM-ARMA Model for Mining Safety Production Situation Prediction
Complexity, 2020 In order to improve the prediction accuracy of mining safety production situation and remove the difficulty of model selection for nonstationary time series, a grey (GM) autoregressive moving average (ARMA) model based on the empirical mode decomposition
Menglong Wu +5 more
doaj +2 more sources
Estimation of ARMA Model Order via Artificial Neural Network for Modeling Physiological Systems
IEEE Access, 2020 Model order estimation is the most important but challenging step for system identification using an autoregressive moving average (ARMA) model. In this paper, we propose an artificial neural network (ANN) structure to estimate the best model order for ...
Md-Billal Hossain +2 more
doaj +1 more source
Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting
Entropy, 2021 Modeling and analysis of time series are important in applications including economics, engineering, environmental science and social science. Selecting the best time series model with accurate parameters in forecasting is a challenging objective for ...
Zheng Fang +3 more
doaj +1 more source
Estimation of the parameters of symmetric stable ARMA and ARMA–GARCH models [PDF]
Journal of Applied Statistics, 2021 In this article, we first propose the modified Hannan-Rissanen Method for estimating the parameters of the autoregressive moving average (ARMA) process with symmetric stable noise and symmetric stable generalized autoregressive conditional heteroskedastic (GARCH) noise.
Sathe, Aastha M., Upadhye, N. S.
openaire +3 more sources
From Lockdowns to Red Lights: Behavioural Shifts and Structural Breaks in Electricity Demand in New Zealand. [PDF]
J R Soc N ZThe COVID‐19 pandemic prompted governments worldwide to implement containment measures, disrupting economic activity and electricity demand. In New Zealand, two key policy frameworks—the Alert System and the COVID‐19 Protection Framework (Traffic Lights)—were introduced over nearly 3 years.
Dong M +6 more
europepmc +2 more sources
Model selection criteria and quadratic discrimination in ARMA and SETAR time series models [PDF]
, 2004 We show that analyzing model selection in ARMA time series models as a quadratic discrimination problem provides a unifying approach for deriving model selection criteria.
Peña, Daniel, Galeano, Pedro
core +1 more source
BMC Medical Research Methodology, 2021 Background This study investigated the ArmA-TH sub-scale measurement properties based on item response theory using the Rasch model. Methods Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to ...
Montana Buntragulpoontawee +6 more
doaj +1 more source
, 2022 “..But this coronavirus has forced us into a new framework, within which we move without any ease: everything has new ways, everything appears as never seen, it’s like finding yourself in an uncharted territory..” (G.
Arma, Gennaro, Peri, Angela Denise
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Groundwater Depth Forecasting Using a Coupled Model
Discrete Dynamics in Nature and Society, 2021 Accurate and reliable prediction of groundwater depth is a critical component in water resources management. In this paper, a new method based on coupling wavelet decomposition method (WA), autoregressive moving average (ARMA) model, and BP neural ...
Manfei Zhang +3 more
doaj +1 more source
An improved hybrid of nonlinear autoregressive with exogenous input and autoregressive moving average for long-term machine state forecasting based on vibration signal [PDF]
, 2010 This paper presents an improvement of hybrid of nonlinear autoregressive with exogenous input (NARX) and autoregressive moving average (ARMA) for long-term machine state forecasting based on vibration data.
Yang, Bo-Suk +2 more
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