Predicting the unemployment rate using autoregressive integrated moving average
Cogent Business & ManagementThe 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
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Rainfall Forecast of Merauke Using Autoregressive Integrated Moving Average Model [PDF]
E3S Web of Conferences, 2018 Climate is an important element for human life, one of them is to agriculture sector. Global climate change leads to increased frequency and extreme climatic intensity such as storms, floods, and droughts.
Pasaribu Yenni P. +2 more
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Engineering Reports, 2021 Box‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena.
Samrad Jafarian‐Namin +3 more
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, 2020 Coronavirus disease 2019 (COVID-19) is a pandemic in more than 200 countries around the world As the fourth most populous nation in the world, Indonesia is predicted to face a big threat to this pandemic particularly Jakarta as the epicentre of the virus
Ferdian Fadly, E. Sari
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International Journal of Distributed Sensor Networks, 2020 Nodes in a wireless sensor network are normally constrained by hardware and environmental conditions and face challenges of reduced computing capabilities and system security vulnerabilities.
Hongtao Song +4 more
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Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. [PDF]
PLoS One, 2018 Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city—São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in turn,
Baquero OS +2 more
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Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study. [PDF]
BMJ Open, 2019 Objectives Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally.
Wang YW, Shen ZZ, Jiang Y.
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COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey. [PDF]
J Infect Public Health, 2021 Toğa G, Atalay B, Toksari MD.
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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 +2 more
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Analyzing the impact of a state concussion law using an autoregressive integrated moving average intervention analysis. [PDF]
BMC Health Serv Res, 2020 Huang L, Sullivan L, Yang J.
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