An alternative method to test scale invariance
We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a prel...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
|
| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016120300947 |
| Summary: | We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a preliminary screening before investigating further which types of distributions would fit the actual observations. • We introduce a simple method to test scale invariance, regardless of data distributions. • Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. • This alternative method could serve as an initial screening before investigating further which types of distributions would fit the actual data. |
|---|---|
| ISSN: | 2215-0161 |