Results 11 to 20 of about 12,105 (264)
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
Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting [PDF]
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 +2 more sources
GA-ARMA Model for Predicting IGS RTS Corrections [PDF]
International Journal of Aerospace Engineering, 2017 The global navigation satellite system (GNSS) is widely used to estimate user positions. For precise positioning, users should correct for GNSS error components such as satellite orbit and clock errors as well as ionospheric delay. The international GNSS
Mingyu Kim, Jeongrae Kim
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
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
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
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
Sensors, 2015 To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed.
Lei Huang
doaj +1 more source
Survey of Temporal and Special Changes of Nisan Rainfalls and Prediction of Them in East Azarbayjan Province [PDF]
نشریه جغرافیا و برنامهریزی, 2015 In this paper, Nisan rainfalls of East Azerbaijan Province in the period of 1980 to 2009 were investigated. Initially changes of Nisan rainfalls trend were analyzed using the non-parametric Mann-Kendall test and Sen's estimator slope that are the most ...
Tahere Jalali Ansaroodi +3 more
doaj
On a Misspecified ARMA Model Fitting to a Data from Gaussian ARMA Process [PDF]
, 2014 This paper provides computer simulations concerning a misspecified ARMA(p, q) model fitting to (a data generated from) an ARMA(p, q+1) process, and also a misspecified ARMA(p+h, q) model fitting to an ARMA(p, q+k) process.
Tanaka, Minoru
core +1 more source