| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1152284 | Statistics & Probability Letters | 2012 | 4 Pages |
Abstract
The aim of this work is to provide some characterization properties of the log-normal distribution with the help of divergence measures between a probability density function ff and its rr-size weighted counterpart frfr. The characterization can be expressed in terms the Kullback–Leibler, the Rényi or the Cressie and Read divergence measures.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
George Tzavelas, Polychronis Economou,