Indian COVID-19 dynamics: Prediction using autoregressive integrated moving average modelling [PDF]
Background: The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centrepiece in evidence-based disease management. Numerous approaches that use mathematical modelling have been used to predict the outcome of the pandemic, including data ...
Tak Amit +3 more
doaj +1 more source
Assessing the Predictive Capabilities of Autoregressive Integrated Moving Average and Linear Regression Models for Acute Changes in Clinical and Selected Laboratory Parameters in Children After Cardiac Surgery in the ICU. [PDF]
Sharwardy SN +3 more
europepmc +3 more sources
Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease.
Abdul Aziz K Abdul Hamid +9 more
doaj +1 more source
Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China [PDF]
Credit is an economic category and is also a product of the commodity economy, which exists through many socio-economic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in
Doan Van Dinh
doaj +1 more source
Beta autoregressive fractionally integrated moving average models [PDF]
In this work we introduce the class of beta autoregressive fractionally integrated moving average models for continuous random variables taking values in the continuous unit interval $(0,1)$. The proposed model accommodates a set of regressors and a long-range dependent time series structure.
Guilherme Pumi +4 more
openaire +3 more sources
Indonesian Consumer Price Index Forecasting Using Autoregressive Integrated Moving Average
The Consumer Price Index is one of the indicators used to confirm financial success in inflation management. This study aims to help determine the CPI prediction value in Indonesia for the next twelve periods in a month using the ARIMA (Autoregressive ...
Shahnaz Salsabila Ishak +6 more
doaj +1 more source
Long-Range Dependence in Financial Markets: a Moving Average Cluster Entropy Approach [PDF]
A perspective is taken on the intangible complexity of economic and social systems by investigating the underlying dynamical processes that produce, store and transmit information in financial time series in terms of the \textit{moving average cluster ...
Carbone, Anna +2 more
core +3 more sources
PENERAPAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK PREDIKSI BILANGAN SUNSPOT
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 +4 more
doaj +1 more source
FORECASTING STOCK PRICES ON THE LQ45 INDEX USING THE VARIMAX METHOD
Forecasting using the Autoregressive Integrated Moving Average (ARIMA) method is not appropriate to predict more than one stock price because this method is only able to model one dependent variable.
Dinul Darma Atmaja +2 more
doaj +1 more source
Analysing COVID-19 Verified, Recuperate and Death Cases in Ethiopia Using ARIMA Models
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.
Birhanu Betela Warssamo
doaj +5 more sources

