SARIMA models
Forecasting Temperatures in Bangladesh: An Application of SARIMA Models
... selected SARIMA models give two-year projected monthly maximum and minimum temperatures that can help decision makers to establish priorities for equipping themselves against upcoming weather ...
11
Modelling and Forecasting Malaria Mortality Rate using SARIMA Models (A Case Study of Aboh Mbaise General Hospital, Imo State Nigeria)
... Abstract: This paper examined the modeling and forecasting malaria mortality rate using SARIMA Models. Among the most effective approaches for analysing time series data is the method propounded by Box and ...
11
Rainfall Drought Simulating Using Stochastic SARIMA Models for Gadaref Region, Sudan
... One can note that all the model coefficients are statistically significant, each being more than twice its standard error. The regression is very highly significant with a p-value of 0.0000, as high as 55.7% of the ...
14
Modeling Monthly Rainfall Time Series Using Ets State Space And Sarima Models
... model the temporal characteristics of rainfall time series; and compare the performance of Seasonal ARIMA models and State space models with applications to two monthly rainfall series in peninsular ...
6
Forecast Comparison of Seasonal Autoregressive Integrated Moving Average (SARIMA) and Self Exciting Threshold Autoregressive (SETAR) Models
... Such models have been proposed by Howell Tong in the mid 70s and have gone through an important revival following their adoption by Economists and Econometricians during the 80s and 90s following the ...
6
FORECASTING MANILA SOUTH HARBOR MEAN SEA LEVEL USING SEASONAL ARIMA MODELS
... (SARIMA) models that fits the given time series composed of the mean sea level of the Manila South Harbor from 2008 to 2014 measured in ...possible models that fit the time series but the chosen one ...
7
A COMPARATIVE STUDY OF UNIVARIATE TIME SERIES MODELLING FOR NATURAL RUBBER PRODUCTION IN MALAYSIA
... (ARIMA) models which have become popular in recent times and had been used in various fields like gold analysis (Guha and Bandyopadhyay, 2016), modelling of rice production (Biswas & Bhattacharyya, 2013 and ...
11
SARIMA Modelling for Forecasting the Electricity Consumption of a Health Care Building
... and SARIMA models were analysed. The models were constructed by using historical dataset of electricity consumption of 11 years of Apollo ...of SARIMA and ARIMA model is ...implementing ...
5
Modeling and Forecasting Foreign Trade of the Philippines Using Time Series SARIMA Model
... a SARIMA model and it has R-squared value and p- value of ...verified SARIMA models for Export were candidate (see Appendices Table 6) and AR(1) AR(2) AR(3) AR(6) AR(7) AR(10) AR(99) MA(1) MA(2) ...
41
<p>Exploring the Dynamics of Hemorrhagic Fever with Renal Syndrome Incidence in East China Through Seasonal Autoregressive Integrated Moving Average Models</p>
... Multivariate generalized additive model (GAM) results show that the HFRS incidence increases as sunshine time and humidity increases and decreases as precipitation increases. In addition, the HFRS incidence is associated ...
11
Modelling and forecasting Lake Malawi water level fluctuations using stochastic models
... stochastic models to simulate water level in Lake Malawi using available time series data from 1986 to ...(ARIMA) models (Craine, 2005) have been used to model such ...(SARIMA) models to ...
11
Time series analysis of mumps and meteorological factors in Beijing, China
... IMA) models were then used to evaluate relationships between monthly numbers of mumps cases and me- teorological ...parameters. SARIMA models were optimal for use in this study because seasonal and ...
9
Models for short term malaria prediction in Sri Lanka
... between models was often ...specific SARIMA models is currently being tested by the AMC in Sri Lanka (the system currently uses models without explanatory variables because a system to ...
11
Stochastic Models and Neural Networks with Prediction Equations: A Comparative Study Using Weather Data of Quetta, Pakistan
... series models like Auto Regressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA) and Auto Regressive Moving average (ARMA) to analyze and forecast weather ...ARIMA models are used to ...
10
Application Of Seasonal Box-Jenkins Techniques For Modelling Monthly Internally Generated Revenue Of Rivers State Of Nigeria
... Like many other economic and financial time series, internally generated revenue could be seasonal. See, for example, Nwogu and Nwosu [1]. The time plot of the internally generated revenue of Ikot Ekpene Local Government ...
5
Hybrid Seasonal ARIMA and Artificial Neural Network in Forecasting Southeast Asia City Air Pollutant Index
... A detailed study of daily air pollution index (API) in urban areas, Johor Bahru located in Southeast Asia is reported in this paper. Based on the data recorded, the selected station shows seasonal data pattern with high ...
12
Forecasting of Potato Prices of Hooghly in West Bengal: Time Series Analysis Using SARIMA Model
... forecast models for various commodities [2, ...forecasting models is use ...forecasting models may fit more or less equally well to the data, but they forecasts different future values ...
8
Time series analaysis of monthly prevalence of malaria in kemissie town
... Akaike Information Criterion (AIC): The final model after estimation can be selected using a penalty function statistic such as the Akaike Information Criterion (AIC), a measure of the goodness of fit an estimated ...
6
Seasonal Interval Time Series Models in Comparative Study of Industrial Forecasting
... forecasting models also conclude that combining forecasts obtained from more than one model often leads to improved ...series models has been never witnessed a ...series models (Seasonal ...
8
Prediction of Container Throughput in China
... In this paper, the seasonal variation of the time series of container port throughputs is obtained by using the Autoregressive Moving Average Model (SARIMA) and the model established in R software. And we forecast ...
9