Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models. [PDF]
BMC Med Res Methodol, 2022 Xu W +6 more
europepmc +1 more source
Electricity Cost Prediction using Autoregressive Integrated Moving Average (ARIMA) in Korea [PDF]
, 2020 Safdar Ali, Do‐Hyeun Kim
openalex +1 more source
Autoregressive Integrated Moving Average Model to Predict Graduate Unemployment in Indonesia
Practice and Theory in Systems of Education, 2017 Abstract Nowadays it is getting harder for higher education graduates in finding a decent job. This study aims to predict the graduate unemployment in Indonesia by using autoregressive integrated moving average (ARIMA) model. A time series data of the graduate unemployment from 2005 to 2016 is analyzed.
openaire +2 more sources
Talent Cultivation of New Ventures by Seasonal Autoregressive Integrated Moving Average Back Propagation Under Deep Learning. [PDF]
Front Psychol, 2022 Han F, Zhang C, Zhu D, Zhang F.
europepmc +1 more source
PEMODELAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) CURAH HUJAN DI KOTA BANDUNG
, 1970 Anie Lusiani, Endang Habinuddin
openalex +2 more sources
Dynamic Mixture Vector Autoregressions With Score‐Driven Weights
Journal of Applied Econometrics, EarlyView.ABSTRACT We propose a novel dynamic mixture vector autoregressive (VAR) model where the time‐varying mixture weights are driven by the predictive likelihood score. Intuitively, the weight of a component VAR model is increased in the subsequent period if the current observation is more likely to be drawn from this state.
Alexander Georges Gretener +2 more
wiley +1 more source
Exchange Rate Volatility and ESG Performance: An International Empirical Analysis
Journal of Corporate Accounting &Finance, EarlyView.ABSTRACT This study examines the impact of exchange rate volatility (ERV) on environmental, social, and governance (ESG) performance using a large dataset of 15,196 firms from various countries, covering the period from 2012 to 2019. By employing a comprehensive set of statistical tests, including the system generalized method of moments (GMM ...
Hamzeh Al Amosh
wiley +1 more source
IET Intelligent Transport Systems, Volume 17, Issue 1, Page 144-164, January 2023., 2023 Abstract Short‐term traffic flow prediction is particularly important for urban traffic control and congestion management. To improve the accuracy of traffic flow prediction, a new traffic flow prediction approach is proposed from the perspective of vehicle functions by using Radio Frequency Identification (RFID) electronic license plate (ELP) data ...
Shuai Huang +4 more
wiley +1 more source
A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden of diseases 2000-2019. [PDF]
BMC Public Health, 2022 Chen Y, He J, Wang M.
europepmc +1 more source
Hybrid approach Wavelet seasonal autoregressive integrated moving average model (WSARIMA) for modeling time series [PDF]
, 2021 Zuzana Janková, Petr Dostál
openalex +1 more source