The distribution of return intervals of extreme events is studied in time series characterized by finite-term correlations with non-exponential decay. Precisely, it has been analyzed the statistics of the return intervals of extreme values of the resistance fluctuations displayed by resistors with granular structure in nonequilibrium stationary states. The resistance fluctuations are calculated by Monte Carlo simulations using a resistor network approach. It has been found that for highly disordered networks, when the auto-correlation function displays a non-exponential and non-power-law decay, the distribution of return intervals of the extreme values is a stretched exponential, with exponent independent of the threshold, in a wide range...
A new network model is proposed for describing the 1/f^alfa resistance noise in disordered materials...
Extreme events, which are usually characterized by generalized extreme value (GEV) models, can exhib...
Time-averaged autocorrelation functions of a dichotomous random process switching between 1 and 0 an...
The distribution of return intervals of extreme events is studied in time series characterized by f...
We study the effect on the distribution of return periods of rare events of the presence in a time s...
It will be discussed the statistics of the extreme values in time series characterized by finite-ter...
We study the distribution of the resistance fluctuations of biased resistor networks in nonequilibri...
In a random resistor network we consider the simultaneous evolution of two competing random processe...
We study the distribution of resistance fluctuations of conducting thin films with different levels ...
The distribution of extreme event return times and their correlations are analyzed in observed and s...
Abstract—We review recent studies of the statistics of return intervals (i) in long-term correlated ...
Recently we have developed a new statistical approach which allows the study of the electrical noise...
We consider a two-dimensional random resistor network (RRN) in the presence of two competing biased ...
The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and the...
Abstract. The distribution of extreme event return times and their correlations are analyzed in obse...
A new network model is proposed for describing the 1/f^alfa resistance noise in disordered materials...
Extreme events, which are usually characterized by generalized extreme value (GEV) models, can exhib...
Time-averaged autocorrelation functions of a dichotomous random process switching between 1 and 0 an...
The distribution of return intervals of extreme events is studied in time series characterized by f...
We study the effect on the distribution of return periods of rare events of the presence in a time s...
It will be discussed the statistics of the extreme values in time series characterized by finite-ter...
We study the distribution of the resistance fluctuations of biased resistor networks in nonequilibri...
In a random resistor network we consider the simultaneous evolution of two competing random processe...
We study the distribution of resistance fluctuations of conducting thin films with different levels ...
The distribution of extreme event return times and their correlations are analyzed in observed and s...
Abstract—We review recent studies of the statistics of return intervals (i) in long-term correlated ...
Recently we have developed a new statistical approach which allows the study of the electrical noise...
We consider a two-dimensional random resistor network (RRN) in the presence of two competing biased ...
The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and the...
Abstract. The distribution of extreme event return times and their correlations are analyzed in obse...
A new network model is proposed for describing the 1/f^alfa resistance noise in disordered materials...
Extreme events, which are usually characterized by generalized extreme value (GEV) models, can exhib...
Time-averaged autocorrelation functions of a dichotomous random process switching between 1 and 0 an...