Determine neighboring region spatial effect on dengue cases using ensemble ARIMA models [PDF]
Scientific Reports, 2021 The state of Selangor, in Malaysia consist of urban and peri-urban centres with good transportation system, and suitable temperature levels with high precipitations and humidity which make the state ideal for high number of dengue cases, annually.
Loshini Thiruchelvam +4 more
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Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya. [PDF]
PLOS Digital Health, 2023 Tuberculosis (TB) infections among children (below 15 years) is a growing concern, particularly in resource-limited settings. However, the TB burden among children is relatively unknown in Kenya where two-thirds of estimated TB cases are undiagnosed ...
Stephen Siamba +2 more
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Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models [PDF]
Microorganisms, 2020 Since mid-November 2019, when the first SARS-CoV-2-infected patient was officially reported, the new coronavirus has affected over 10 million people from which half a million died during this short period. There is an urgent need to monitor, predict, and
Ovidiu-Dumitru Ilie +5 more
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Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction [PDF]
PeerJ Computer ScienceStock price data often exhibit nonlinear patterns and dynamics in nature. The parameter selection in generalized autoregressive conditional heteroskedasticity (GARCH) and autoregressive integrated moving average (ARIMA) models is challenging due to stock
Sneha S. Bagalkot +2 more
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Forecasting COVID-19 pandemic in Alberta, Canada using modified ARIMA models. [PDF]
Comput Methods Programs Biomed Update, 2021 Sun J.
europepmc +2 more sources
دراسة إحصائية مقارنة بين نمــــاذجARIMA و ANN : مــفـــردة وهجـــــينة (مع التــطبيـــق) [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ, 2020 الملخص: تناول البحث بناء النماذج الهجينة المتولدة من دمج نموذج الانحدار الذاتي والمتوسطات المتحرکة التکاملية ARIMA مع نموذج الشبکات العصبية الاصطناعية ANNs، وذلک باستخدام بواقي ARIMA کمدخلات لنموذج ANN وبالعکس، بالاعتماد على بيانات السلسلة ...
محمد عبدالهادي صادق +1 more
doaj +1 more source
Comparison of ARIMA and LSTM for prediction of hemorrhagic fever at different time scales in China
PLoS ONE, 2022 Objectives This study intends to build and compare two kinds of forecasting models at different time scales for hemorrhagic fever incidence in China. Methods Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory Neural Network (LSTM)
Rui Zhang +5 more
doaj +2 more sources
Complexity, 2021 The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron (MLP), recurrent neural network (RNN), and autoregressive integrated moving average (ARIMA) on historical data.
Zhang Peng +6 more
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AnalysingCOVID-19Verified,RecuperateandDeathCasesin Ethiopia Using ARIMA Models
East African Journal of Biophysical and Computational Sciences, 2022 Applying a successful prediction of the confirmed, recovered and deaths is thought to be the basic requirement to successfully control the spreading rate of diseases. Time series models have extensively been considered as the suitable methods to forecast
Birhanu Betela Warssamo
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Prediction Intervals for ARIMA Models [PDF]
Journal of Business & Economic Statistics, 2001 The problem of constructing prediction intervals for linear time series (ARIMA) models is examined. The aim is to find prediction intervals which incorporate an allowance for sampling error associated with parameter estimates. The effect of constraints on parameters arising from stationarity and invertibility conditions is also incorporated.
Snyder, Ralph D. +2 more
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