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The phrase "erroneous estimate" is correct and usable in written English.
You can use it when referring to an estimate that is not accurate or correct. For example: "The erroneous estimate of the cost of the project caused a lot of confusion and delays."
Exact(18)
Hence, poor channel estimation is expected to result in erroneous estimate of (hat {u}).
They say the erroneous estimate reflected an inaccurate grouping of other electronic missions.
Correction: March 18 , 2001 Sunday An article last Sunday about living in Watchung, N.J., included a town official's erroneous estimate of the deer population.
An article in Business Day yesterday about an increase in cheating on income taxes included an erroneous estimate from the Internal Revenue Service for the number of people who do not file returns although required to do so.
Correction: December 2, 2003, Tuesday An article by The Associated Press in The Arts yesterday about movies' box-office earnings over the weekend included an erroneous estimate from Universal Pictures for "Dr. Seuss' The Cat in the Hat".
A brief article on Wednesday about the end of remedial courses at the senior colleges of the City University of New York used an erroneous estimate for the plan's cost.
Similar(42)
Both of these sources of error, combined with different levels of systematic error in rate estimation on branches of different lengths, likely led to erroneous estimates of rate variation in datasets of variable branch lengths (Figure 4).
Erroneous estimates may be obtained if special care is not taken in the estimation.
Polling failures in Britain (2015 election, Brexit) can be tied to the polls' erroneous estimates regarding such groups.
A detailed analysis shows that existing work is neither optimal nor efficient in determining these important parameters and may lead to erroneous estimates.
More specifically, failure to recognise and correct for erroneous estimates of α is found to produce substantial overestimates of the combined population significance which worsen with increasing target multiplicity.
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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