https://doi.org/10.1140/epjp/i2018-12005-3
Regular Article
q-log-distributions: Log-concavity and log-convexity
1
PhD School of Mathematics, University of Bucharest, Bucharest, Romania
2
National Institute for Economic Research “Costin C. Kiriţescu”, Bucharest, Romania
* e-mail: irina_adrianna@yahoo.com
Received:
22
November
2017
Accepted:
24
March
2018
Published online:
27
April
2018
Tsallis statistics along with Tsallis distributions have been attracting considerable attention of statisticians in recent years, since applications of the q-distributions can be found in various fields. However, only until recently, in 2018, a q -logarithm transformation has been considered in order to obtain new Tsallis distributions. In this paper, we introduce the q-log-distributions defined for 
. We propose these models to be considered for modeling demographic data. We discuss the log-concavity and log-convexity of these models with emphasis on log-concavity. We extend the notions of log-concavity and log-convexity. We explore the shapes of the hazard rate functions and give bounds for the mean residual life function.
© Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature, 2018
