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The phrase "maximum likelihood estimation" is correct and commonly used in written English.
It can be used in a variety of contexts, but it typically refers to a statistical method used to estimate parameters of a distribution by selecting the values that give the highest probability of producing a given set of data. Example 1: In the field of finance, maximum likelihood estimation is often used to determine the optimal portfolio allocation for investors. Example 2: The researchers used maximum likelihood estimation to analyze the data and identify the most likely cause of the epidemic. Example 3: In order to accurately predict future sales trends, the company employed maximum likelihood estimation to model consumer behavior.
Exact(55)
Subsequently, the parameters were estimated by maximum likelihood estimation.
The regression coefficients were estimated using maximum likelihood estimation.
The model will be estimated using maximum likelihood estimation.
All models were estimated using maximum likelihood estimation.
The parameters are estimated by maximum likelihood estimation.
Maximum likelihood estimation was used to estimate the parameters.
Similar(5)
This is the pseudo-maximum likelihood estimation of sample surveys.
Parameters were estimated using maximum-likelihood estimation.
Maximum-likelihood estimation and empirical risk minimization.
Maximum-likelihood estimation of dual-tracer striatal activity concentration from simultaneously acquired SPECT data.
Maximum-likelihood estimation is an unbiased feature decoding method.
More suggestions(15)
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maximum likelihood phylogram
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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