English and Chinese language frequency time series analysis

来源 :Chinese Science Bulletin | 被引量 : 0次 | 上传用户:David_Wang_GuanJun
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English and Chinese language frequency time series (LFTS) were constructed based on an English and two Chinese novels. Methods of statistical hypothesis testing were adopted to test the nonlinear properties of the LFTS. Results suggest the series exhibited non-normal, auto-correlative, and stationary characteristics. Moreover, we found that LFTS follow the power law distributions, and thereby we investigated the fractal structure, long range correlation, and intermittency, which indicated the self-similarity features of LFTS, and also provided hints that human societies are likely to share some universal properties. English and Chinese language frequency time series (LFTS) were constructed based on an English and two Chinese novels. Methods of statistical hypothesis testing were adopted to test the nonlinear properties of the LFTS. Results suggest the series gallas non-normal, auto Also, we found that LFTS follows the power law distributions, and thus we investigated the fractal structure, long range correlation, and intermittency, which shows the self-similarity features of LFTS, and also provides hints that human societies are likely to share some universal properties.
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