Jh. Ma et al., THRESHOLD VALUE FOR DIAGNOSIS OF CHAOTIC NATURE OF THE DATA OBTAINED IN NONLINEAR DYNAMIC ANALYSIS, Applied mathematics and mechanics, 19(6), 1998, pp. 513-520
In this paper surrogate data method of phase-randomized is proposed to
identify the random or chaotic nature of the data obtained in dynamic
analysis: The calculating results validate the phase-randomized metho
d to be useful as it can increase the extent of accuracy of the result
s. And the calculating results show that threshold values of the rando
m timeseries and nonlinear chaotic timeseries have marked difference.