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The phrase "disturbance terms" is correct and usable in written English.
It can be used in contexts related to statistics, econometrics, or any field that involves modeling and analyzing data with random variations. Example: "In our regression analysis, we need to account for the disturbance terms to ensure accurate predictions." Alternatives: "error terms" or "residuals".
Exact(20)
Regression disturbance terms are clustered at the occupation level.
The model is non-linear due to the behavior of the disturbance terms.
The disturbance terms ε ij are assumed to be independently and identically distributed.
In addition, the unknown bounded mismatch and disturbance terms are also overcome by the proposed control.
The disturbance terms ɛ and e are assumed to be serially uncorrelated and orthogonal to the independent variables.
In particular, we consider two separate sets of assumptions (2 models): the first uses stationarity on the unobserved disturbance terms.
Similar(40)
U i = a disturbance term, and.
A disturbance term observer is then designed to estimate the disturbance term.
Where u i is a random disturbance term.
where is a zero-mean disturbance term collecting signal noise and noise noise interactions.
where r is a disturbance term assumed to be randomly distributed and SPILLOVER is defined below.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com