Nonlinear Sciences – Chaotic Dynamics
Scientific paper
1996-02-01
Nonlinear Sciences
Chaotic Dynamics
LaTeX, 17 pages, figures encapsulated as picture environments
Scientific paper
10.1016/S0378-4371(96)00165-3
We present a novel method for determining multi-fractal properties from experimental data. It is based on maximising the likelihood that the given finite data set comes from a particular set of parameters in a multi-parameter family of well known multi-fractals. By comparing characteristic correlations obtained from the original data with those that occur in artificially generated multi-fractals with the {\em same} number of data points, we expect that predicted multi-fractal properties are unbiased by the finiteness of the experimental data.
Cronin Alex
Roberts James A.
No associations
LandOfFree
Unbiased estimation of multi-fractal dimensions of finite data sets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Unbiased estimation of multi-fractal dimensions of finite data sets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unbiased estimation of multi-fractal dimensions of finite data sets will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-597175