Results 31 to 40 of about 13,873,042 (261)
Heliyon, 2023 The article focuses on analyzing the robustness of Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN) methods in unemployment rate estimation. In this context, a stochastic trend in the unemployment rate was determined
Dilek Surekci Yamacli, Serhan Yamacli
doaj +1 more source
Trend and Volatility Analysis of Shanghai Composite Index Returns Based on ARMA and LSTM Model
Journal of Applied Science and EngineeringThis paper takes the daily return rate of the Shanghai Composite Index as a sample to establish the ARMA-LSTM (Long Short-Term Memory) model for the Shanghai Composite Index.
Wenting Ma
doaj +1 more source
System identification using neuro fuzzy approach for IoT application
Measurement: Sensors, 2022 The Internet of Things (IoT) has become a popular application in recent years. However, it is the wireless communication mode. In such a scenario, the user would have to send information either nonlinear or dynamic data type in the form of a signal or an
Rakesh Kumar Pattanaik +3 more
doaj +1 more source
The Anatomical Record, EarlyView.Abstract The Pleistocene is a key period for understanding the evolutionary history and palaeobiogeography of the European rabbit (Oryctolagus cuniculus). The species was first documented in southeastern Iberia at the beginning of the Middle Pleistocene and appears to have rapidly spread throughout Southwestern Europe, where it was found in numerous ...
Maxime Pelletier
wiley +1 more source
Predicting Annual Tigris River Streamflow at Kut Barrage using SAMS Program
Wasit Journal of Engineering SciencesForecasting synthetic hydrologic data is the primary goal of the Stochastic Analysis, Modeling, and Simulation (SAMS) program. This research examined yearly data on the streamflow of the Kut Barrage on the Tigris River spanning 21 years, from 2003 to ...
Ghufran R. AL-Youdawi +1 more
doaj +1 more source
Integrated SSA-LSTM-ARMA framework for sea-surface-height prediction [PDF]
Shandong kexueWith the increasing influence of global climate change on sea levels, accurate prediction of sea-surface-height variations is essential for marine environmental monitoring, disaster early warning, and coastal resource management. Using sea-surface-height
ZHANG Runda, WANG Jianquan, ZHANG Ning
doaj +1 more source
Subspace‐Based System Identification From Binary Measurements
Asian Journal of Control, EarlyView.ABSTRACT This paper is concerned with subspace identification from binary measurements for systems whose dynamical behavior can be splited into a deterministic and a stochastic subsystem. An identification algorithm is detailed. The main contribution of the proposed identification algorithm lies in the identification of both the deterministic subsystem
Alex Ali Mestrah +2 more
wiley +1 more source
Using R/S analysis for forecasting stock quotes with ARMA and ARIMA methods [PDF]
ITM Web of ConferencesThe article observes the methods of forecasting time series Autoregressive Moving Average Model (ARMA) and Integrated Autoregressive Moving Average Model (ARIMA).
Stupina Alena, Zinenko Anna
doaj +1 more source
PLoS ONE, 2022 SVR-ARMA-GARCH models provide flexible model fitting and good predictive powers for nonlinear heteroscedastic time series datasets. In this study, we explore the change point detection problem in the SVR-ARMA-GARCH model using the residual-based CUSUM ...
HsinKai Wang +3 more
doaj +1 more source
The ARMA alphabet soup: A tour of ARMA model variants
Statistics Surveys, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Holan, Scott H. +2 more
openaire +2 more sources