Mehrnaz Anvari

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Although fluctuations in the waiting time series have been studied for a long time, some important issues such as its long-range memory and its stochastic features in the presence of nonstationarity have so far remained unstudied. Here we find that the "waiting times" series for a given increment level have long-range correlations with Hurst exponents(More)
Emergent extreme events are a key characteristic of complex dynamical systems. The main tool for detailed and deep understanding of their stochastic dynamics is the statistics of time intervals of extreme events. Analyzing extensive experimental data, we demonstrate that for the velocity time series of fully-developed turbulent flows, generated by (i) a(More)
The original version of this Article contained a typographical error in the spelling of the author Muhammad Sahimi, which was incorrectly given as Muhammad Sahim. This has now been corrected in the PDF and HTML versions of the Article. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party(More)
Complex systems involving a large number of degrees of freedom, generally exhibit non-stationary dynamics, which can result in either continuous or discontinuous sample paths of the corresponding time series. The latter sample paths may be caused by discontinuous events - or jumps - with some distributed amplitudes, and disentangling effects caused by such(More)
This paper reports stochastic properties of renewable wind and solar energy resources by studying their conditional probability distribution functions (cpdf) in different time lags. The empirical results are obtained for data of global horizontal irradiance measured by a single sensor and the power output of a single wind turbine, as well as for an averaged(More)
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