forecast error
collocation in Englishmeaningsofforecastanderror
These words are often used together. Click on the links below to explore the meanings. Or,see other collocations withforecastorerror.
forecast
noun[C]
uk/ˈfɔː.kɑːst/us/ˈfɔːr.kæst/
a statement of what is judged likely to happen in the future, especially in connection with a particular situation, or the expected ...
See more atforecast
error
noun[C or U]
uk/ˈer.ər/us/ˈer.ɚ/
a ...
See more aterror
(Definition offorecastanderrorfrom theCambridge English Dictionary© Cambridge University Press)
Examplesofforecast error
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
Apparently, the increase inforecasterrorfrom using additional, poorly estimated parameters outweighs the reduction in residual variance from including additional information in the model.
From theCambridge English Corpus
Near-neighbor methods offer slight additional improvements, but again, the overall reduction inforecasterroris quite small.
From theCambridge English Corpus
The leading firms' mean squareforecasterrorcan be larger than that of following firms if the proportion of following firms is sufficiently large.
From theCambridge English Corpus
Only in the case of default risk does adding a variable bring a reduction inforecasterror.
From theCambridge English Corpus
They also can detect model mis-specification because they compare the average squaredforecasterror of the unrestricted model with that of the restricted model.
From theCambridge English Corpus
When interpreting the figures one should use caution because theforecasterroraccumulates when trying to predict longer periods of time.
From theCambridge English Corpus
Only in the case of default risk does adding a financial variable bring a reduction inforecasterrorover the univariate model.
From theCambridge English Corpus
If the mean-squaredforecasterrorfrom extrapolation is less than that of the alternatives, then there is no incentive to switch.
From theCambridge English Corpus
We continue to assume that the expectations of agents adapt to the most recentforecasterror.
From theCambridge English Corpus
This occurs when the agent's metric for assessing performance is theforecasterrorobserved in the most-recent period (which corresponds to a year in the model calibration).
From theCambridge English Corpus
Detailed examination of theforecast-errorseries indicates that in 201 out of 300 forecasts, the near-neighbor regression gives a smaller forecast error; thus, the sign and signed-rank tests are significant.
From theCambridge English Corpus
Some studies focus on covariate environmental shocks directly using rainfall measures, and others estimate transitory income orforecasterrorin income by combining rainfall measures with various attributes.
From theCambridge English Corpus
It was a mistake, aforecasterror, of almost indescribable proportions.
From the
Hansard archive
Example from the Hansard archive. Contains Parliamentary information licensed under theOpen Parliament Licence v3.0
Using a consensus of forecast models, as well as ensemble members of the various models, can help reduceforecasterror.
From
Wikipedia
Industry figures show that despite highly tuned models,forecasterrorremains a challenge.
From
Wikipedia
As a quantitative measure, the forecast bias can be specified as a probabilistic or statistical property of theforecasterror.
From
Wikipedia
Across the ten elections from 1976 to 2012, equally weighted predictors reduced theforecasterrorof the original regression models on average by four percent.
From
Wikipedia
The programme imbalance is the wind productionforecasterror.
From
Wikipedia
The typical performance of demand sensing systems reduces near-termforecasterrorby 30% or more compared to traditional time-series forecasting techniques.
From
Wikipedia
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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