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What (who) is autocorrelated errors - definition

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

Forecast errors

The Comedy of Errors

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.

https://en.wikipedia.org/wiki/The_Comedy_of_Errors

Heteroskedasticity-consistent standard errors

ASYMPTOTIC VARIANCES UNDER HETEROSKEDASTICITY

HCSE; Huber–White standard error; Huber-White standard error; HC0; White standard errors; Heteroscedasticity-Consistent Standard Errors; Eicker-White standard errors; Huber-White standard errors; Huber–White standard errors; Eicker–White standard errors; Eicker–White standard error; Eicker–Huber-White standard error; Eicker–Huber-White standard errors; Sandwich standard error; Eicker-White standard error; Robust standard error; Eicker-Huber-White standard errors; Eicker-Huber-White standard error; Heteroscedasticity-consistent standard errors

The topic of heteroskedasticity-consistent (HC) standard errors arises in statistics and econometrics in the context of linear regression and time series analysis. These are also known as heteroskedasticity-robust standard errors (or simply robust standard errors), Eicker–Huber–White standard errors (also Huber–White standard errors or White standard errors), to recognize the contributions of Friedhelm Eicker, Peter J.

https://en.wikipedia.org/wiki/Heteroskedasticity-consistent_standard_errors

Errors in early word use

LINGUISTIC CONCEPT

Errors in Early Word Use; Developmental error; Overextension

Errors in early word use or developmental errors are mistakes that children commonly commit when first learning language. Language acquisition is an impressive cognitive achievement attained by humans.

https://en.wikipedia.org/wiki/Errors_in_early_word_use

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.

https://en.wikipedia.org/wiki/Forecast error