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In the literature, there are other model reduction methods that involve graph rewriting like QSSA and quasi-equilibrium procedures, the method of [ 21] and the graph rewriting of monomolecular reaction networks described in [ 3].
Most of the subjects had an open surgical procedure; i.e. 182/202 (90%) of the selected procedures were open surgery (i.e. open fasciectomies or open fasciotomies); 16 (8%) procedures were either a percutaneous needle or knife fasciotomy or an amputation/arthrodesis; in the remaining four (2%) procedures the method of treatment was unknown.
Although analysis methods typically adapt the log-rank statistic for recursive partitioning procedures, the method applied here used a likelihood ratio (LR) test statistic from a fitting of cure survival regression assuming exponential and Weibull distributions for the latency time of relapse.
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Unlike the stepwise procedure, the method simultaneously quantifies and estimates the coefficients.
Since K-means clustering is an unsupervised learning procedure, the method can be directly implemented to measured vibration data.
In order to verify the accuracy of the procedure, the method for certified reference materials was used CRM-14866).
The optimization procedures of the method are given.
Formulations and procedures of the method are given in detail.
Readers can refer to our previous study [ 25] for the detailed procedures of the method and its principle.
The rank-based Wilcoxon, least squares (LS) procedure, and mle procedures complete the methods investigated.
Amongst the three selected procedures, the TCM method of decoction with water is the most efficient.
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