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HURST指数计算MATLAB程序
- 计算HURST指数的程序
Hurst
- hurst指数计算宏,计算简单,效率较高-Hurst index macros, computing simple, efficient
rs2
- R/S分析的程序，用来计算Hurst指数用的-R/S analysis procedures used to calculate the index Hurst
feixiang
- 用于计算hurst指数。可判断股市是否是分形市场或有效市场。供参考。-used to calculate the index hurst. To judge whether the stock market is fractal or effective market. For reference.
Hurst-1
- Hurst指数在股票市场有效性分析中的应用，matlab计算。-Hurst index effectiveness analysis in the stock market, the application Matlab calculations.
hurst
- 利用R/S的各种修正版本计算HURST指数-Use of R/S calculation of the various amended version HURST index
hurst
- 求解长相关指数程序，简单，可以比较一下-Solving long-range dependence index procedure, simple, can compare
rs
- 利用GAUSS进行R/S分析，并可由此计算HURST指数，可直接运行-The use of GAUSS for R/S analysis, and the resulting calculation HURST index, can be directly run
hurst_exponent
- 一个简单的计算hurst指数的matlab程序-A simple calculation of Hurst index of matlab program
hurst
- 计算hurst 指数的 matlab 程序-Hurst index calculation matlab program
Hurst
- Hurst指数计算工具。使用.txt格式数据，Hurst指数相关内容内附文献说明，数据输入格式内附样本说明，压缩包内Hurst文件夹为代码及编译后的程序，文档文件夹为相关文献。-Hurst index calculation tool. Use. Txt format data, Hurst index of the contents included documents related note, the data input for
hurst指数
- hurst指数主要用于预测时间序列的未来变化趋势(Mainly used to predict the future trend of time series trends)
Hurst指数择时
- 基于Hurst指数的择时策略代码，用中证800数据回测(Hurst index based time selection strategy code, using China's certificate 800 data back test)
DFA时变HURST指数
- DFA 方法下时变 Hurst 指数程序(A time variant Hurst exponent program under DFA method)
hurst指数计算
- 可以直接进行Hurst指数的计算和两种指数试验的推演(Calculating the Hurst index)
HURST指数
- matlab代码用于计算hurst指数，附有几个excel实用例子(calculate hurst index)
Hurst指数Matlab计算
- Hurst指数Matlab计算，采用R/S法
Hurst指数
- 信号处理领域中求Hurst指数MATLAB代码。(Find the Hurst index MATLAB code in the field of signal processing.)
用重标度极差法计算hurst指数的matlab程序
- 用重标度极差法计算hurst指数的MATLAB程序(Calculation of Hurst by using rescaled range method)
Hurst指数及数据
- 用来求时间序列的Hurst指数、修正Hurst指数以及V统计量（平均循环周期）(Hurst index, modified Hurst index and V statistic (mean cycle period) for time series)