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The parameters of the MMPP-2 model can be estimated at run time for a given data trace using a maximal likelihood estimator (MLE) [22].
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The parameters were estimated using the maximum likelihood estimator (MLE).
All hazard ratios were estimated by the maximum likelihood estimator according to the Breslow method.
The maximum likelihood estimator and the approximate maximum likelihood estimator of R are obtained.
We can obtain the maximum likelihood estimator ŵ for w by maximizing the log-likelihood l(w )=log L(w ).
These models are then estimated by the iterative generalized least squares maximum likelihood estimator.
The invariance property ensures that, if is the maximum likelihood estimator of θ, then g is a maximum likelihood estimator of g.
We design a maximum likelihood estimator using this PDF.
Compute the maximum likelihood estimator for the one-component model.
Also in [4, 5] a maximum likelihood estimator is analyzed.
It is known that estimators such as the maximum likelihood estimator or the quadratic variation of the path estimator can be strongly biased in this setting.
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