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InVEst uses maximum likelihood estimation based on a model where all measurements have relative errors.
In order to calculate the parameters β0, β1, β2,…, β k, the logistic regression transforms the dependent into a logit variable and then uses maximum likelihood estimation.
LCCA uses maximum likelihood estimation methods to minimize association among the responses across multiple observed variables.
The Mx program uses maximum likelihood estimation so that all twin data can be included, regardless of co-twin data availability.
The model-fitting approach uses maximum likelihood estimation to find the set of parameters that yield the best fit to the nitrogen and tree species' dynamics data.
InVEst uses maximum likelihood estimation based on models where all measurements have potentially relative errors.
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Equation 4 was estimated using maximum likelihood estimation and the estimated results are summarized in Table 3.
We can use maximum likelihood estimation algorithm to estimate the Gaussian parameters for each class from training points.
All models were fitted using maximum likelihood estimation which calculates estimates of the statistical parameters most likely to have produced the observed data.
It is estimated using maximum likelihood estimation technique.
The OLR model was estimated using maximum likelihood estimation method.
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