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"larger error" is a correct and usable phrase in written English.
It is typically used to refer to a mistake or inaccuracy that is bigger or more significant than others. Example: The computer algorithm was supposed to be precise, but it consistently produced larger errors when calculating complex equations.
Exact(59)
Maynard Keynes's absence is a larger error.
We also tried cases with larger error floor.
We obtain relatively larger error bars at higher degrees.
In this case, the model made larger error.
Besides, the older component tends to pose a larger error.
Clearly, this is also true for larger error rates q m,n.
The ARopt now shows a considerable larger error in several cases than the multitaper methods.
The initial calculations have a larger error than the later calculations.
The main reason for the larger error is the asymmetry in the peaks close to surfaces.
We assume the scene change with a larger error rate than [2, 10, 12].
KEK's preliminary number is closer to the Standard Model value but with an even larger error (0.58 +/- 0.33).
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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