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So, it is quite different from forecasting, whose objective is to give the precise date of occurrence of a specified physical event.
This paper proposed one novel algorithm based on cloud model granulation for air quality forecasting, whose data is non-linear, uncertain, and heterogeneous.
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In its last Inflation Report, the MPC presented a forecast whose central projection showed inflation rising to 2.5% by the start of 2003.
The team that generated the forecast, whose members come from two German ocean and climate research centers, acknowledged that it was a preliminary effort.
In other words, the estimated forecast models, whose forecast errors are lower than 1/2, are ignored.
One place where the frontier of forecasting is already being pushed is at private forecasting companies whose predictions are sold to commodities traders, utilities, or other customers whose business relies on anticipating future weather.
We apply several different linear and nonlinear forecasting methods, whose details are given in Additional file 1: Section II.
Our results confirm that there is no 'one-size-fits-all' forecasting model, whose performance strictly depends on the specific characteristics of the underlying data.
The chapter provides a project finance forecasting model, whose key points include: the need to be able to construct projections when no financial statements are available, the need to identify key project variables, the need to select the appropriate indices to measure performance, and the need to consider carefully the above two points in designing a spreadsheet.
The issue of how to create a dynamic data-dependent forecast model of a threshold forecast system, whose threshold changes according to the change of planting environment has been solved.
In a conference call, Verizon gave a 2012 earnings-forecast range whose bottom trailed analysts' estimates.
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CEO of Professional Science Editing for Scientists @ prosciediting.com