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Zhang, et al [75], proposed a hybrid model based on permutation entropy, EEMD, and SVM for motor bearing fault diagnosis.
The purpose of this paper is to propose a newly developed non-parametric test for linear and nonlinear causality based on permutation entropy and to show its usefulness in analyzing the potential causal relationship between trading volume and security prices.
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Tests of significance were based on permutation procedures.
The LOD threshold was obtained based on permutation test (1000 permutations, P = 0.05) for each data set.
Existing methods are based on permutation.
P-values were determined based on permutation analysis using 1,000 permutations.
We also devised a number of tests based on permutation.
Two PCs were significant based on permutation tests.
The mean decrease in classification is based on permutation.
The analysis is based on permutation testing that minimises assumptions.
The statistical significance was then computed based on permutation.
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