link errors - definizione. Che cos'è link errors
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Cosa (chi) è link errors - definizione

DIFFERENCE BETWEEN THE ACTUAL OR REAL AND THE PREDICTED OR FORECAST VALUE OF A TIME SERIES OR ANY OTHER PHENOMENON OF INTEREST
Forecast errors

Telecommunications link         
  •  ''Feeder links'', here: ''uplink / downlink''}}
COMMUNICATIONS CHANNEL THAT CONNECTS TWO OR MORE COMMUNICATING DEVICES
Forward link; Reverse link; Downlink; High-speed link; Link (telecommunications); Uplink; HSL link; Down link; Down-link; Up-link; High Speed Link
In a telecommunications network, a link is a communication channel that connects two or more devices for the purpose of data transmission. The link may be a dedicated physical link or a virtual circuit that uses one or more physical links or shares a physical link with other telecommunications links.
downlink         
  •  ''Feeder links'', here: ''uplink / downlink''}}
COMMUNICATIONS CHANNEL THAT CONNECTS TWO OR MORE COMMUNICATING DEVICES
Forward link; Reverse link; Downlink; High-speed link; Link (telecommunications); Uplink; HSL link; Down link; Down-link; Up-link; High Speed Link
¦ noun a telecommunications link for signals coming to the earth from a satellite, spacecraft, or aircraft.
The Comedy of Errors         
  • frontispiece]] dated 1890
  • Carmel Shakespeare Festival]] production, [[Forest Theater]], Carmel, California, 2008
  • The first page of the play, printed in the [[First Folio]] of 1623
EARLY PLAY BY WILLIAM SHAKESPEARE
Comedy of Errors; Comedy of errors; The Comedy Of Errors; A Comedy of Errors; Comedy Of Errors; Antipholus; The Comedie of Errors; The Comedie of Errors.; Aegeon; Dromio; Angelo (The Comedy of Errors); Comedy of Errors (play); The comedy of errors; The Comedy of Errors (play)
The Comedy of Errors is one of William Shakespeare's early plays. It is his shortest and one of his most farcical comedies, with a major part of the humour coming from slapstick and mistaken identity, in addition to puns and word play.

Wikipedia

Forecast error

In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. Since the forecast error is derived from the same scale of data, comparisons between the forecast errors of different series can only be made when the series are on the same scale.

In simple cases, a forecast is compared with an outcome at a single time-point and a summary of forecast errors is constructed over a collection of such time-points. Here the forecast may be assessed using the difference or using a proportional error. By convention, the error is defined using the value of the outcome minus the value of the forecast.

In other cases, a forecast may consist of predicted values over a number of lead-times; in this case an assessment of forecast error may need to consider more general ways of assessing the match between the time-profiles of the forecast and the outcome. If a main application of the forecast is to predict when certain thresholds will be crossed, one possible way of assessing the forecast is to use the timing-error—the difference in time between when the outcome crosses the threshold and when the forecast does so. When there is interest in the maximum value being reached, assessment of forecasts can be done using any of:

  • the difference of times of the peaks;
  • the difference in the peak values in the forecast and outcome;
  • the difference between the peak value of the outcome and the value forecast for that time point.

Forecast error can be a calendar forecast error or a cross-sectional forecast error, when we want to summarize the forecast error over a group of units. If we observe the average forecast error for a time-series of forecasts for the same product or phenomenon, then we call this a calendar forecast error or time-series forecast error. If we observe this for multiple products for the same period, then this is a cross-sectional performance error. Reference class forecasting has been developed to reduce forecast error. Combining forecasts has also been shown to reduce forecast error.