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hurst parameter estimate

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4.8 | 5 ratings Rate this file 25 Downloads (last 30 days) File Size: 93.14 KB File ID: #19148

hurst parameter estimate

by Chu Chen

 

11 Mar 2008 (Updated 11 Mar 2008)

This routine estimate the long-range dependence of a sequence with several methods.

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Description

The most important characteristic of a covariance stationary self-similar stochastic process is that it is long-range dependent. The long-range dependent time series hold significant correlations across arbitrarily large time scales. And the Hurst parameter H measure the degree of long-range dependence and can be estimated by several methods.

MATLAB release MATLAB 7.1.0 (R14SP3)
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Comments and Ratings (8)
15 Oct 2008 Alexandre Budoudoo

A very good package combining different methods. Recommended for studing purposes and developpment of own algorithms

15 Aug 2009 Tom Wei

very good, and contain different methods to estimate hurst parameter

28 Nov 2009 Felipe Ardila

Good job, usefull package to esitmate Hurst coef, thanks

06 Jan 2010 zhang bin

Thanks a lot! Very good!

25 May 2010 zheng zhilong  
23 Aug 2010 Washington

I have used your RS routine, and in some cases I found hurst parameter greater than 1 (one), is it anything wrong? Thanks.

08 Mar 2011 saca 2009

while running the program graph is not coming it is showing error that undefined isplot so kindly suggest me how can i over come this error

12 Mar 2011 henry gorx

great¡, it works very well.

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Tag Activity for this File
Tag Applied By Date/Time
fractals Chu Chen 22 Oct 2008 09:52:51
hurst parameter Chu Chen 22 Oct 2008 09:52:51
longrange dependence Chu Chen 22 Oct 2008 09:52:51
covariance Chu Chen 22 Oct 2008 09:52:51
stochastic process Chu Chen 22 Oct 2008 09:52:51
fractals Yong Yang 20 Dec 2008 23:16:00
hurst parameter Yong Yang 20 Dec 2008 23:16:05

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