Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes. [PDF]
Int J Environ Res Public Health, 2021 Watson L +7 more
europepmc +3 more sources
Forecasting Inflation: Autoregressive Integrated Moving Average Model [PDF]
European Scientific Journal, ESJ, 2016 This study compares the forecasting performance of various Autoregressive integrated moving average (ARIMA) models by using time series data. Primarily, The Box-Jenkins approach is considered here for forecasting. For empirical analysis, we used CPI as a proxy for inflation and employed quarterly data from 1970 to 2006 for Pakistan.
Muḥammad Iqbāl, Amjad Naveed
openalex +5 more sources
Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19. [PDF]
Chaos Solitons Fractals, 2020 Singh S +3 more
europepmc +2 more sources
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 +4 more
doaj +1 more source
Applied forecasting with an autoregressive integrated moving average (ARIMA) model
, 1977 Gail A. Jensen
openalex +5 more sources
SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR PRECIPITATION TIME SERIES [PDF]
Journal of Mathematics and Statistics, 2012 Predicting the trend of precipitation is a difficult task in meteorology and environmental sciences. Statistical approaches from time series analysis provide an alternative way for precipitation prediction. The ARIMA model incorporating seasonal characteristics, which is referred to as seasonal ARIMA model was presented.
Chang
openalex +4 more sources
Forecasting and predicting intussusception in children younger than 48 months in Suzhou using a seasonal autoregressive integrated moving average model. [PDF]
BMJ Open, 2019 Guo WL +8 more
europepmc +3 more sources
Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China. [PDF]
Medicine (Baltimore), 2019 Zou JJ +4 more
europepmc +2 more sources
Using autoregressive integrated moving average models for time series analysis of observational data
British medical journal, 2023 This article discusses the use of autoregressive integrated moving average (ARIMA) models for time series analysis. Rather than forecasting future values, we focus here on examining change across time in outcomes of interest and how this change is ...
Brandon Wagner, Kelly Cleland
semanticscholar +1 more source