Name
Abstract | ||
|---|---|---|
•We focus on the whole range of data, whose upper tail follows a power-law behavior.•We modeled the exponent of the Power Law distribution using a non-linear function.•We found a new family of Generalized Power Law (GPL) distributions.•We studied a relevant model of that family, the GPL(α, β, σ) distribution.•GPL(α, β, σ) dist. can be useful for modeling municipal debt data in the whole range. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cnsns.2016.06.004 | Communications in Nonlinear Science and Numerical Simulation |
Keywords | DocType | Volume |
Power law behavior,Whole range fitting,Complexity,Municipal debt | Journal | 42 |
ISSN | Citations | PageRank |
1007-5704 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faustino Prieto | 1 | 10 | 2.08 |
| José María Sarabia | 2 | 36 | 7.61 |