Results 51 to 60 of about 21,185 (243)

Comparison of ARIMA and ARIMA/GARCH Models in EVN Traffic Prediction [PDF]

Journal of Research and Development on Information and Communication Technology, 2014
This  paper  focuses  on  building  statistical models  to  capture  and  forecast  the  traffic  of  mobile communication  network  in  Vietnam.  Following  BoxJenkins  method,  a  multiplicative  seasonal  ARIMA model is constructed  to  represent  the  mean  component using the past values of traffic, a GARCH model is then incorporated  to ...
Tran Quang Thanh, Trinh Quang Khai
openaire   +1 more source

Trends in Rheumatoid Arthritis Mortality Among Postmenopausal Women in the United States, 1999–2023

iMetaMed, EarlyView.
RA‐related mortality among U.S. postmenopausal women has markedly declined since 1999. Despite this overall progress, significant inequalities by race, region, and age highlight ongoing challenges in achieving equitable health outcomes. ABSTRACT Rheumatoid arthritis (RA) disproportionately affects postmenopausal women, who are at an increased risk of ...
Yuhui Zhao, Weilu Cui, Yayun Han, Jun Qiao, Minjing Chang   +4 more
wiley   +1 more source

THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES

Barekeng
In the financial markets, accurately forecasting the closing prices of gold futures is crucial for investors and analysts. Traditional methods like ARIMA (Autoregressive Integrated Moving Average) have been widely used for this purpose, particularly for ...
Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah   +4 more
doaj   +1 more source

Windowed Mean Drift Exponentially Weighted Moving Average Control Chart for Monitoring Complex Autocorrelated Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT In modern manufacturing environments, traditional statistical process control (SPC) methods often struggle with complex, dynamic data patterns, particularly when observations are autocorrelated. Control charts are useful tools used in SPC to detect any significant drift in a process.
Jeanette Maria Louw, Jean‐Claude Malela‐Majika, Kayode Samuel Adekeye, Aamir Saghir   +3 more
wiley   +1 more source

IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY

Barekeng
Hybrid ARIMA-NN is a combined approach of the ARIMA model used to capture linear patterns in time series data and Artificial Neural Networks (ANN) to handle non-linear and stochastic patterns.
Hisyam Ihsan, Irwan Irwan, Andi Illa Erviani Nensi   +2 more
doaj   +1 more source

Sustainable Foreign Direct Investment in Emerging Markets: The Institutional Drivers of Firms' Climate Action

Sustainable Development, EarlyView.
ABSTRACT This study examines how home‐ and host‐country institutions jointly shape the impact of foreign direct investment (FDI) on firms' climate action commitments (CAC) in emerging markets. Drawing on New Institutional Economics and Varieties of Capitalism, we conceptualize FDI as a mechanism of institutional transmission through which multinational
Jose Pla‐Barber, David Tobón‐Orozco
wiley   +1 more source

Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO)

Journal of Physics: Conference Series, 2018
The aim this study is discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA models were fit to the data containing AO, this
Ahmar, Ansari Saleh, Guritno, Suryo, Abdurakhman, Rahman, Abdul, Awi, Alimuddin, Minggi, Ilham, Tiro, M. Arif, Aidid, M. Kasim, Annas, Suwardi, Sutiksno, Dian Utami, Dewi, S. Ahmar, Kurniawan, H. Ahmar, Ahmar, A. Abqary, Zaki, Ahmad, Abdullah, Dahlan, Rahim, Robbi, Nurdiyanto, Heri, Hidayat, Rahmat, Napitupulu, Darmawan, Simarmata, Janner, Kurniasih, Nuning, Abdillah, Leon Andretti, Pranolo, Andri, Haviluddin, Albra, Wahyudin, Arifin, A. Nurani M   +26 more
openaire   +2 more sources

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

THE GENERALIZED SPACE-TIME ARIMA (GSTARIMA) MODEL FOR PREDICTING NITROGEN MONOXIDE TO MITIGATE EID AL- FITR AIR POLLUTION IN SURABAYA

Barekeng
Air quality is a crucial factor due to its significant impact on environmental sustainability and public health. One of the major pollutants affecting air quality is Nitrogen Monoxide (NO), especially during periods of increased human mobility such as ...
Hani Khaulasari, Dian Candra Rini Novitasari, Maunah Setyawati, Jeneiro Maulana, Shukor Sanim Mohd Fauzi   +4 more
doaj   +1 more source

A Partially Amended Hybrid Bi-GRU—ARIMA Model (PAHM) for Predicting Solar Irradiance in Short and Very-Short Terms

Energies, 2020
Solar renewable energy (SRE) applications are substantial in eradicating the rising global energy shortages and reversing the approaching environmental apocalypse.
Mustafa Jaihuni, Jayanta Kumar Basak, Fawad Khan, Frank Gyan Okyere, Elanchezhian Arulmozhi, Anil Bhujel, Jihoon Park, Lee Deog Hyun, Hyeon Tae Kim   +8 more
doaj   +1 more source