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Hypothesized models were tested using the maximal likelihood procedure in the LISREL statistics program.
Confirmatory factor analysis (CFA) was performed using AMOS 21.0.0 to test the model defined by the EFA as well as a single factor model using the maximal likelihood estimation method.
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In the latter case, the smoothing parameter is determined using the maximal marginal (restricted) likelihood integrated over the penalized coefficients, which after re-parameterization are assumed to follow a normal distribution with mean zero and variance indirectly proportional to the smoothing parameter.
The parameters were estimated using the maximum likelihood estimator (MLE).
The decision is made using the maximum likelihood rule.
We estimate the parameters by using the maximum likelihood method.
We estimated β and σ using the maximum likelihood method.
This tree was made using the maximum likelihood method.
Parameters were estimated using the maximum likelihood method.
LULC classification was performed using the maximum likelihood algorithm.
The number of subpopulations is identified using the maximal value of this likelihood returned by STRUCTURE.
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