... 预计损失 prospective damage 无标度性 scaling invariant property 双频条纹 contour fringes ...
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通过对幂谱和统计矩函数的分析，得出股票市场时间序列的无标度性。
Power spectrum analysis and statistical moment function on a range of scales revealed scaling qualities of the date from stock market.
重点对产业集聚效应的相似性分析和产业集聚规模结构无标度性分析，即产业集聚规模结构的分形维数分析。
It focuses on the industrial agglomeration effects of the similarities analysis and the structure scale of industrial agglomeration fractal dimensions analysis.
研究表明影响分维估计精度的主要因素有四种：数据点数、数据概率分布、数据平稳性、无标度区。
Main factors influencing precision of fractal dimension computation include number of data, distribution of data, stationarity of data, no scale area.
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