Sentence examples for forecasts in which from inspiring English sources
Amid an optimistic business outlook -- the company reaffirmed earlier forecasts in which it said it would meet earnings-per-share growth of 14percentt for the year -- PepsiCo executives admitted that difficulties lay ahead.
Here's a video clip of Pier Carlo Padoan, chief economist, explaining why Europe is lagging: Facebook Twitter Pinterest (if you scroll back to 10.12am there are details of the OECD's new forecasts, in which it predicted slower growth across the world economy).
But results are almost the opposite for 1-year forecasts in which the statistic ((mathrm{MSPE}_{r} - mathrm{MSPE}_{u})) is not significant for agent's forecasts (rows 6 9), but is significant for the case of extrapolative, adaptive, and regressive expectations, and even the forward discount.
Furthermore, Huang and Guo [11] studied the model of the climate for weather forecasts in which the pressing force of topography on atmosphere and the divergent effect of airflow are included, and they proved the existence and the asymptotic behaviors of the weak solution.
This is indicative of overconfident forecasts in which ensemble members agree well with each other (high signal-to-noise ratio) but do not capture the observed variations (low correlation).
Economists term this the naive forecast in which nothing changes.
Many traffic forecasting approaches focus on the problem of freeway/motorway traffic forecasting in which the state of the road traffic is quite stable.
This is due to a lack of being able to forecast in which direction mainstream standardization of AR-oriented platform components will be framed.
The third step is to forecast, in which the estimated model is used to predict future values of the time series considered.
In 1949, while at Fortune, Jones published an article called "Fashions in Forecasting," in which Wall Street experts insisted that it was impossible to predict the direction of the market.
In this paper, these forecasts are shown to be worse than the trivial forecast in which the most recently measured beach volume persists unchanged into the future, with a mean square error (MSE) about 13.5% worse (equivalent to a root mean square error (RMSE) 6.5% worse).
