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The phrase "maximum likelihood estimates" is correct and usable in written English.
It is commonly used in statistics and mathematics to refer to a method of estimating unknown parameters in a statistical model. Example: "The researcher used maximum likelihood estimates to determine the most likely values of the regression coefficients in their model."
Exact(59)
However, the maximum likelihood estimates of σ2 are different.
Otherwise, stop; the last estimates are the maximum likelihood estimates. .
Maximum likelihood estimates of the model parameters are obtained.
Parameters expressed as maximum likelihood estimates (standardized solution).
The maximum likelihood estimates of the parameters in the model and their asymptotic properties are presented.
Under the normality assumption of errors, the least-squares estimates equal the maximum likelihood estimates.
We show maximum likelihood estimates (MLEs) of cell probabilities can be obtained in closed-form.
Maximum likelihood estimates of divergence time between An. funestus and An.
These stable values are the maximum likelihood estimates (MLEs) of parameters.
Parameter estimates and standard errors were based on maximum likelihood estimates.
Similar(1)
Additionally, it computes the maximum-likelihood estimates of the mixture coefficients, η1, η2.
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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