Arima
National Institutes of Health
Papers overview
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This paper uses the ARIMA and BP neural network model to forecast the exchange rate by collecting the monthly exchange rate data…
Mobile traffic modeling and forecasting are the key techniques in terms of network optimization and management because better…
Due to various factors, passenger flow has nonlinear characteristics. Autoregressive Integrated Moving Average Model (ARIMA model…
Article history: Received September 9, 2010 Received in revised format June 5, 2012 Accepted 31 July 2012 Available online August…
Streamflow forecasting plays important roles for flood mitigation and water resources allocation and management. Inaccurate…
Trends in population have important implications for a government 111 planning and formulating its manpower-related policies. A…
In the framework of competitive electricity markets, power producers and consumers need accurate price forecasting tools. Price…
Traditional time series models such as ARIMA models have been proven to be inadequate for modelling traffic exhibiting long-range…
This article aims at modeling and forecasting inflation in Pakistan. For this purpose a number of econometric approaches are…
For the fractional ARIMA model, we demonstrate that wrong model speciication might lead to serious problems of inference in nite…