Sentence examples for forecasting standard from inspiring English sources

Although the average prediction error is comparable to that obtained by forecasting standard methods, the KNN approach gives complementary results, as they depend only on an objective classification of observed CWT data, without any model assumption.

The computation of the forecast standard errors for the series is classic using the so-called (psi ) weights of the pure moving average representation of the process.

Ensemble projections forecast an increase of streamflow maxima for 2050 with pronounced forecast standard error, including an increase of +30(±21), +38(±34) and +51 ±85)% for 2, 20 and 100 year streamflow events for the wet temperate region studied.

That decision is based on I.B.M.'s system, which uses computer algorithms to predict how much rain will fall in a given square kilometer — a far more precise forecast than standard weather systems provide.

We also find that the forecast differences (standard deviation) between the four scenarios increase for the larger events and decrease for the smaller events (Figs. 11b, 12b).

That timing would give the company enough time to respond to questions that the SEC may have regarding its business, and its forecasts — a standard give and take before a company goes public.

The OI-type error covariance is similar to the empirical one, except that the forecast error standard deviations are assumed time-invariant (i.e., constant throughout the assimilation) and that spatial correlation does not decay exponentially with the distance.

The empirical covariance is assumed diagonal (no cross covariance between different degrees l and orders m) and is determined by the forecast error standard deviations and an exponentially decaying spatial correlation function.

Skill refers to the accuracy of a forecast or set of forecasts relative to a standard control forecast.

However, there is often knowledge and sometimes quantitative evidence of the expected impacts of changes in procedure effectiveness and practice and these may be used to modify the standard forecasting methods to achieve better forecasts as we have illustrated.

Indeed, this is the standard forecasting methodology among population forecasters (Keilman & Cruijsen, 1992).