Showing 1 - 10 of 153
the diffusion of contamination through soil, water and air. The complexity involved in modelling such an environment …
Persistent link: https://www.econbiz.de/10010874682
This paper investigates the common intuition suggesting that during crises the shape of the financial market clearly differentiates from that of random walk processes. In this sense, it challenges the traditional analysis of the nature of financial markets implicit in the most popular models....
Persistent link: https://www.econbiz.de/10011059971
This paper presents an empirical investigation of scaling and multifractal properties of US Dollar–Deutschemark (USD–DEM) returns. The data set is ten years of 5-min returns. The cumulative return distributions of positive and negative tails at different time intervals are linear in the...
Persistent link: https://www.econbiz.de/10010872935
Physiologic complexity is an important concept to characterize time series from biological systems, which associated to … complexity metrics as function of time scales. Complexity metrics are derived from nonadditive entropy supported by generation of … surrogate data, i.e. SDiffqmax, qmax and qzero. In order to access accuracy of proposed complexity metrics, receiver operating …
Persistent link: https://www.econbiz.de/10011194017
Multiscale entropy (MSE) is an effective method to measure the complexity of signals from complex systems, which has … complexity measurement. Thus we introduce an empirical mode decomposition based RCMSE, called EMD–RCMSE to first eliminate such … effects of trends and then measure the complexity of signals. It is validated from simulated signals and has good estimation …
Persistent link: https://www.econbiz.de/10011194044
the circular wave formations. Shiner–Davison–Landsberg (SDL) complexity measure framework has been used in several … were collected in two different spatial scales. The SDL complexity was calculated for the data and two main results …
Persistent link: https://www.econbiz.de/10010871856
We present an analytical computation of the asymptotic temporal behavior of the information geometric complexity (IGC … connection between (micro)correlations and (macro)complexity in Gaussian statistical dynamical systems. …
Persistent link: https://www.econbiz.de/10010871921
these complexity algorithms and show explicitly that the above parameters are intimately connected and mutually … can be used in medical applications of complexity theory, as it can calculate all three parameters for a realistic …
Persistent link: https://www.econbiz.de/10010872055
We show that the tenure lengths for managers of sport teams follow a power law distribution with an exponent between 2 and 3. We develop a simple theoretical model which replicates this result. The model demonstrates that the empirical phenomenon can be understood as the macroscopic outcome of...
Persistent link: https://www.econbiz.de/10010872143
In this paper, we investigate the data of industries in China and find that the frequency distributions of fixed assets and fixed-assets’ investment of industries obey power laws. We show that these power-law modes can be explained by the rules of the Simon Model, rather than the existing...
Persistent link: https://www.econbiz.de/10010872681