Results 1 to 10 of about 74,761 (297)

Prediction of women and Children's hospital outpatient numbers based on the autoregressive integrated moving average model. [PDF]

Heliyon, 2023
Lin Y, Wan C, Li S, Xie S, Gan Y, Lu Y.
europepmc   +1 more source

Using autoregressive integrated moving average models in the analysis and forecasting of mobile network traffic data [PDF]

, 2019
Francis Kwabena Oduro-Gyimah
openalex   +1 more source

Predicting Traffic Load Data: ARIMA and SARIMA Comparison

Engineering Proceedings
The article presents comparison of two statistical methods of data prediction over transport datasets. Autoregressive integrated moving average and its seasonal modification—seasonal autoregressive integrated moving average—are often applied in ...
Todor Peychinov, Adeliya Karaivanova, Teodora Mecheva   +2 more
doaj   +1 more source

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model. [PDF]

PLoS One, 2023
Costa EM, Magalhães Rodrigues ES, de Sousa FS, Pimentel FB, Sodré Lopes MB, Vissoci JRN, Thomaz EBAF.   +6 more
europepmc   +1 more source

Forecasting COVID-19 new cases in Algeria using Autoregressive fractionally integrated moving average Models (ARFIMA) [PDF]

, 2020
Belkacem Balah, Messaoud Djeddou
openalex   +1 more source

A Test for the Difference Parameter of the ARFIMA Model Using the Moving Blocks Bootstrap. [PDF]

In this paper we construct a test for the difference parameter d in the fractionally integrated autoregressive moving-average (ARFIMA) model. Obtaining estimates by smoothed spectral regression estimation method, we use the moving blocks bootstrap method
Maharaj, E.A.
core  

Forecasting phase-field variable in brittle fracture problems by autoregressive integrated moving average technique

Computer Assisted Methods in Engineering and Science
Phase-field modeling is a powerful and versatile computational approach for modeling the evolution of cracks in solids. However, phase-field modeling requires high computational cost for accurately capturing how cracks develop under increasing loads. In
Cuong T. Nguyen, Long H. Le, Minh N. Dinh, Ngoc M. La   +3 more
doaj   +1 more source

Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models. [PDF]

BMC Public Health, 2023
Cheng C, Jiang WM, Fan B, Cheng YC, Hsu YT, Wu HY, Chang HH, Tsou HH.   +7 more
europepmc   +1 more source

Seasonal autoregressive integrated moving average (SARIMA) time-series model for milk production forecasting in pasture-based dairy cows in the Andean highlands. [PDF]

PLoS One, 2023
Perez-Guerra UH, Macedo R, Manrique YP, Condori EA, Gonzáles HI, Fernández E, Luque N, Pérez-Durand MG, García-Herreros M.   +8 more
europepmc   +1 more source

On Hybrid Autoregressive Integrated Moving Average Artificial Neural Network Time Series Analysis of the Nigeria External Reserves

, 2023
Lanrewaju O. Adekola, Taye O. Olagundoye
openalex   +1 more source