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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Journal of Medical Internet Research
BackgroundAccurate prediction of population-wide depression incidence is vital for effective public mental health management. However, this incidence is often influenced by socioeconomic factors, such as abrupt events or changes ...
Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li   +14 more
doaj   +5 more sources

Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and naïve forecasting methods [PDF]

Data in Brief, 2021
The coronavirus disease 2019 (COVID-19) spread rapidly across the world since its appearance in December 2019. This data set creates one-, three-, and seven-day forecasts of the COVID-19 pandemic's cumulative case counts at the county, health district ...
Christopher J. Lynch, Ross Gore
doaj   +5 more sources

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends [PDF]

Alexandria Engineering Journal, 2022
Several machine learning and deep learning models were reported in the literature to forecast COVID-19 but there is no comprehensive report on the comparison between statistical models and deep learning models. The present work reports a comparative time-
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Masahiro Kawaji, Timothy M. Brenza   +4 more
doaj   +2 more sources

PENERAPAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK PREDIKSI BILANGAN SUNSPOT

Barekeng, 2021
Peristiwa magnetik pada matahari ditandai dengan salah satu tanda yaitu munculnya sunspot atau bintik matahari. Sunspot terletak di fotosfer matahari yang memiliki warna lebih gelap dari pancaran sekitarnya.
Felia Dria Yuliawanti, Dian C. Rini Novitasari, Nanang Widodo, Abdulloh Hamid, Wika Dianita Utami   +4 more
doaj   +3 more sources

Predicting the unemployment rate using autoregressive integrated moving average

Cogent Business & Management
The objective of this study is to predict unemployment in Indonesia in the wake of the demographic dividend. The sample used in this study is the unemployment data from 1990 to 2022 from the Indonesian Central Bureau of Statistics database.
Andrian Dolfriandra Huruta
doaj   +3 more sources

Metode Autoregressive Integrated Moving Average untuk Meramalkan Penjualan

EKOMABIS: Jurnal Ekonomi Manajemen Bisnis, 2020
Kondisi sales performance dipengaruhi oleh sales budget (anggaran penjualan) yang telah ditetapkan di periode sebelumnya. Penetapan sales budget berdasarkan pada hasil ramalan penjualan (sales forecast) yang sudah dianalisa sebelumnya. Penetapan sales forecast di PT.
Emmelia Tan, Indri Astuti
openaire   +3 more sources

Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models [PDF]

Computational Statistics & Data Analysis, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jurgen A. Doornik, Marius Ooms
openaire   +6 more sources

Spatial impact on inflation of Java Island prediction using Autoregressive Integrated Moving Average (ARIMA) and Generalized Space-Time ARIMA (GSTARIMA). [PDF]

MethodsX
Safira A, Dhiya'ulhaq RA, Fahmiyah I, Ghani M.   +3 more
europepmc   +3 more sources

Forecasting Indian infant mortality rate: An application of autoregressive integrated moving average model

Journal of Family and Community Medicine, 2019
BACKGROUND: The Infant Mortality Rate (IMR) reflects the socioeconomic development of a nation. The IMR was reduced by 28% between 2015 and 2016 (National Family Health Survey-4 [NFHS-4]) as compared to 2005–2006 (NFHS-3), from 57/1000 to 41/1000 live ...
Amit K Mishra, Chandar Sahanaa, Mani Manikandan   +2 more
doaj   +2 more sources

Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. [PDF]

BMC Med Res Methodol, 2021
Schaffer AL, Dobbins TA, Pearson SA.
europepmc   +3 more sources