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For the NMF approach, the parameters are set as,,,, and according to [16].
In this approach, the parameters of copulas again were estimated by Two-Stage MLE.
As this is a supervised approach, the parameters of the model are estimated using reference videos.
But through their studies, they did not approach the parameters connections blocking.
In this approach, the parameters of the copula were directly estimated using the empirical distribution (e.g., empirical distribution using the Weibull plotting position formula) which is listed in Table 4.
Hence, by making use of Bayesian approach, the parameters of Weibull distribution are considered random variables, and their distributions should be assessed from the specialist information on these variables π and π.
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To reduce the conservativeness of quadratic stability approach the parameter-dependent Lyapunov function (PDLF) is used.
However, as discussed in the proposed approach, the parameter results can be derived expediently and naturally by the vector method.
Based on the strictly positive real Lyapunov design approach, the parameter adaptive laws are designed by the fuzzy basis functions rather than by its filtering.
In this approach, the parameter estimation is performed in several (incremental) steps.
In order to make the results comparable for the GLMM approach, the parameter estimates were marginalized using equation (1).
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