Recently, a new dispersion index, as a measures of information, has been introduced and called varentropy. In this article, we introduce new measures of variability based on two measures of uncertainty, namely, the Kerridge inaccuracy measure and the Kullback-Leibler divergence. Their generating functions are considered and their infinite series representations are given. These new measures and associated properties, bounds and illustrative examples are all presented in detail. Finally, an application of Kullback-Leibler divergence and its dispersion index is illustrated by using the mean-variance rule.
Dispersion indices based on Kerridge inaccuracy measure and Kullback-Leibler divergence / Balakrishnan, N.; Buono, F.; Cali, C.; Longobardi, M.. - In: COMMUNICATIONS IN STATISTICS. THEORY AND METHODS. - ISSN 0361-0926. - 53:15(2024), pp. 5574-5592. [10.1080/03610926.2023.2222926]
Dispersion indices based on Kerridge inaccuracy measure and Kullback-Leibler divergence
Buono F.;
2024
Abstract
Recently, a new dispersion index, as a measures of information, has been introduced and called varentropy. In this article, we introduce new measures of variability based on two measures of uncertainty, namely, the Kerridge inaccuracy measure and the Kullback-Leibler divergence. Their generating functions are considered and their infinite series representations are given. These new measures and associated properties, bounds and illustrative examples are all presented in detail. Finally, an application of Kullback-Leibler divergence and its dispersion index is illustrated by using the mean-variance rule.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2994631