Results 11 to 20 of about 73,625 (339)

A data-driven approach to predict hydrometeorological variability and fluctuations in lake water levels [PDF]

Journal of Water and Land Development, 2023
Beyşehir Lake is the largest freshwater lake in the Mediterranean region of Turkey that is used for drinking and irrigation purposes. The aim of this paper is to examine the potential for data-driven methods to predict long-term lake levels.
Remziye I. Tan Kesgin, Ibrahim Demir, Erdal Kesgin, Mohamed Abdelkader, Hayrullah Agaccioglu   +4 more
doaj   +1 more source

Indian COVID-19 dynamics: Prediction using autoregressive integrated moving average modelling [PDF]

Scripta Medica, 2021
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, Dia Sunita, Dia Mahendra, Wehner Todd C.   +3 more
doaj   +1 more source

Improvement of Time Forecasting Models Using Machine Learning for Future Pandemic Applications Based on COVID-19 Data 2020–2022

Diagnostics, 2023
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, Wan Imanul Aisyah Wan Mohamad Nawi, Muhamad Safiih Lola, Wan Azani Mustafa, Siti Madhihah Abdul Malik, Syerrina Zakaria, Elayaraja Aruchunan, Nurul Hila Zainuddin, R.U. Gobithaasan, Mohd Tajuddin Abdullah   +9 more
doaj   +1 more source

Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China [PDF]

Management Science Letters, 2019
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]

Journal of Statistical Planning and Inference, 2019
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, Marcio Valk, Cleber Bisognin, Fábio Mariano Bayer, Taiane Schaedler Prass   +4 more
openaire   +3 more sources

Adaptive Online Learning for the Autoregressive Integrated Moving Average Models

Mathematics, 2021
This paper addresses the problem of predicting time series data using the autoregressive integrated moving average (ARIMA) model in an online manner. Existing algorithms require model selection, which is time consuming and unsuitable for the setting of ...
Weijia Shao, Lukas Friedemann Radke, Fikret Sivrikaya, Sahin Albayrak   +3 more
doaj   +1 more source

Indonesian Consumer Price Index Forecasting Using Autoregressive Integrated Moving Average

International Journal of Electronics and Communications System, 2023
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, Michael Abednego, Dian Maya Sari, Viyonisa Syafa Sabila, Khoirunnisa Khoirunnisa, Mika Alvionita, Luluk Muthoharoh   +6 more
doaj   +1 more source

Long-Range Dependence in Financial Markets: a Moving Average Cluster Entropy Approach [PDF]

, 2020
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, Murialdo, Pietro, Ponta, Linda   +2 more
core   +3 more sources

Analysing COVID-19 Verified, Recuperate and Death Cases in 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.
Birhanu Betela Warssamo
doaj   +5 more sources

FORECASTING STOCK PRICES ON THE LQ45 INDEX USING THE VARIMAX METHOD

Media Statistika, 2021
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, Widowati Widowati, Budi Warsito   +2 more
doaj   +1 more source