Usually, the studies of distributions of city populations have been reduced to power laws. In such analyses, a common practice is to consider cities with more than one hundred thousand inhabitants. Here, we argue that the distribution of cities for all ranges of populations can be well described by using a q-exponential distribution. This function, which reproduces the Zipf-Mandelbrot law, is r...

Even though power-law or close-to-power-law degree distributions are ubiquitously observed in a great variety of large real networks, the mathematically satisfactory treatment of random power-law graphs satisfying basic statistical requirements of realism is still lacking. These requirements are: sparsity, exchangeability, projectivity, and unbiasedness. The last requirement states that entropy...

We model the time series of the S&P500 index by a combined process, the AR+GARCH process, where AR denotes the autoregressive process which we use to account for the short-range correlations in the index changes and GARCH denotes the generalized autoregressive conditional heteroskedastic process which takes into account the long-range correlations in the variance. We study the AR+GARCH process ...

The dual generalized order statistics is a unified model which contains the well known decreasingly ordered random data such as (reversed ordered) order statistics and lower record values. In the present paper, some characterization results on the power function distribution based on the properties of dual generalized order statistics are provided. The results are proved without any rest...

Pareto law, which states that wealth distribution in societies has a power-law tail, has been the subject of intensive investigations in the statistical physics community. Several models have been employed to explain this behavior. However, most of the agent based models assume the conservation of number of agents and wealth. Both these assumptions are unrealistic. In this paper, we study the l...

The Zipf distribution also known as scale-free distribution or discrete Pareto distribution, is the particular case of Power Law distribution with support the strictly positive integers. It is a one-parameter distribution with a linear behaviour in the log-log scale. In this paper the Zipfian distribution is generalized by means of the Marshall-Olkin transformation. The new model has more flexi...

A simple method to derive parametric analytical extensions of Benford’s law for first digits of numerical data is proposed. Two generalized Benford distributions are considered, namely the two-sided power Benford (TSPB) distribution, which has been introduced in Hürlimann(2003), and the new Pareto Benford (PB) distribution. Based on the minimum chisquare estimators, the fitting capabilities of ...

Many distributions for first digits of integer sequences are not Benford. A simple method to derive parametric analytical extensions of Benford’s law for first digits of numerical data is proposed. Two generalized Benford distributions are considered, namely, the two-sided power Benford TSPB distribution, which has been introduced in Hürlimann 2003 , and the new Pareto Benford PB distribution. ...

A generalized exponential spectrum model is derived, which considers finite turbulence inner and outer scales and has a general spectral power law value between the range 3 to 5 instead of standard power law value 11/3. Based on this generalized spectrum model, a new generalized long exposure turbulence modulation transfer function (MTF) is obtained for optical plane and spherical wave propagat...