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We illustrate the ARIMA/GARCH methodology on the developing a forecast model for BUX stocks using the data sets as for each GARCH-type model above.
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A forecasting model for ecological security based on cellular automata (CA) was developed using preliminary spatial data from an ecological security assessment of Guangzhou conducted previously (1990 2005).
Through a literature review this paper paves the path for the possible development of a forecasting model for making short term predictions during chaotic events so as to assist business practitioners in navigating their way out of chaos, thereby facilitating organizational emergence.
In this paper, a novel forecast model for short-term prediction of wind speed and wind power is proposed, which is based on singular spectrum analysis (SSA) and locality-sensitive hashing (LSH).
The Urban Airshed Model, a regional forecast model for the effects of air pollution and acid rain, was developed by a private company in the USA in 1970.
At this first stage of research, an irradiance forecast model for the Stuttgart weather station is examined; the analysis of more areas is planned using interpolation and advanced machine learning techniques.
A. M. Lombardi and W. Marzocchi (2011) presented a 1-year forecast model for "All Japan".
We have developed a daily PV power forecast model for monitoring and managing residential grid connected PV systems considering limitations of feed in tariff.
This paper develops a grey fuzzy Markov industrial accidents forecast model for small or incomplete accident data availability situations using non-differential function grey interval analysis, fuzzy logic, variation conditioning and a state transition approach which aims to capture unique accident occurrence characteristics.
We will soon be unveiling our forecast model for United States Senate races.
The Gauss coefficients of the MoSST_DAS 5-year SV forecast model for the period 2010 2015.
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