Sentence examples for forecast which can be from inspiring English sources

Fourth developed a predictive, multi-layered algorithm to calculate a daily baseline forecast, which can be broken down into periods as short as 15 minutes by sales item.

The S-curve represents then a kind of a "mean" forecast, which can be presented by the following sigmoid (Boltzmann) function: y(x) = y_{f}^ - (y_{f}^ - y_{s}^ ); cdot ;left[ {1 + exp left( {(x - x_{0} )Delta x^{ - 1} } right)} right] (B1 where y f, y s, x 0, Δx are its parameters (i.e., constants).

While National Weather Service forecasts (which can be found on these sites as well) depict what the weather is at the airport, the commercial sites can take microviews, zeroing in on a particular town or a street.

Socio-economic risks may be reduced and mitigated, based upon statistical evaluation of the seasonal rainfall forecasts which can be assessed a few months prior to the rainy season and subsequently updated.

There have been very few studies focused on developing a robust forecasting system which can be used to develop a public warning system.

This eruption scenario was chosen because there was existing volcanic monitoring data available for streaming the data 'real-time', it progresses through forecasting stages (which can be denoted by precursors that students could identify), and results in a 'blockbuster' climax (which is exciting to the participants).

Therefore, an empirical forecast model "FFST.xls", which can be easily calibrated for local conditions, is included with this book.

He prepares his forecast by 8 a.m., which can be precariously early.

ARIMA p,d,q) forecasting equation: ARIMA models are, in theory, the most general class of models for forecasting a time series which can be made to be "stationary" by differencing (if necessary), perhaps in conjunction with nonlinear transformations such as logging or deflating (if necessary).

Mr. Hargreaves of Pacific Crest Securities forecasts that such services, which can be highly profitable, could bring in 5percentt of the company's $47 billion in sales in the fiscal year ending next February.

Electricity and gas companies rely on weather forecasts to anticipate demand which can be strongly affected by the weather.