Results 311 to 320 of about 412,561 (324)

Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average

Energy, 2023
Ruan Luzia, Lihki Rubio, C. E. Velasquez
semanticscholar   +1 more source

The Use of Fractionally Autoregressive Integrated Moving Average for the Rainfall Forecasting

2018
A study of rainfall pattern and its variability in South Asian countries is vital as those regions are frequently vulnerable to climate change. Models for rainfall have been developed with different degrees of accuracy, since this key climatic variable is of importance at local and global level.
G. S. Dissanayake, H. P. T. N. Silva, T. S. G. Peiris   +2 more
openaire   +2 more sources

Forecasting of Stock Price Using Autoregressive Integrated Moving Average Model

Journal of Computational and Theoretical Nanoscience, 2019
Finance sector is highly volatile where the stock prices fluctuate rapidly and it is usually challenging to forecast. The unstable conditions and rapid changes can drastically modify the monetary value of an organization or an individual. Hence, the prediction of stock prices continues to remain as one of the sizzling and vital topics in the ...
Loh Chi Jiang, Preethi Subramanian
openaire   +2 more sources

Pemodelan ARIMAX (Autoregressive Integrated Moving Average with Exogenous Variable)

, 2020
. Time series data are analyzed to obtain a measure that can be used for forecasting. Forecasting is the prediction of the values of a variable based on the values obtained in the past. One of the time series models that can be used to forecast is ARIMA (
Tasya Elba Siswanti, Teti Sofia Yanti
semanticscholar   +1 more source

Crime and arrests: An autoregressive integrated moving average (ARIMA) approach

Journal of Quantitative Criminology, 1988
Various theoretical perspectives suggest that marginal changes in the quantity of crime and arrests are related to one another. Unfortunately, they provide little guidance as to the amount of time that is required for these effects to be realized. In this paper, autoregressive integrated moving average (ARIMA) time-series modeling techniques, which ...
openaire   +2 more sources

On the partial autocorrelations of once integrated autoregressive-moving average processes

Series Statistics, 1979
An observation, from practical experience with analysing univariate time series, suggests a simple relationship between the partial autocorrelations of a process realisation which requires first differencing, and those for that same sequence of differences.
openaire   +2 more sources

Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

Journal of Cleaner Production, 2022
Zohreh Sheikh Khozani, Fatemeh Barzegari Banadkooki, M. Ehteram, Ali Najah Ahmed, A. El-shafie   +4 more
semanticscholar   +1 more source

Modification of autoregressive fractionally integrated moving average models for the estimation of persistence

Journal of Applied Statistics, 2000
In this paper, it is proposed to modify autoregressive fractionally integrated moving average (ARFIMA) processes by introducing an additional parameter to comply with the criticism of Hauser et al . (1999) that ARFIMA processes are not appropriate for the estimation of persistence, because of the degenerate behavior of their spectral densities at ...
openaire   +3 more sources

V2V Routing in a VANET Based on the Autoregressive Integrated Moving Average Model

IEEE Transactions on Vehicular Technology, 2019
With the development of vehicle networks, the information transmission between vehicles is becoming increasingly important. Many applications, particularly regarding security, are based on communication between vehicles. These applications have strict requirements for factors such as the quality of communication between vehicles and the time delay ...
Gang Sun, Liangjun Song, Hongfang Yu, Victor Chang, Xiaojiang Du, Mohsen Guizani   +5 more
openaire   +2 more sources

A Comparison Between Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ES) Based on Time Series Model for Forecasting Road Accidents

The Arabian journal for science and engineering, 2021
Muhammad Babar Ali Rabbani, M. A. Musarat, W. Alaloul, M. S. Rabbani, A. Maqsoom, Saba Ayub, Hamna Bukhari, Muhammad Altaf   +7 more
semanticscholar   +1 more source