Unit-log-symmetric models: characterization, statistical properties and their applications to analyzing an internet access data

Roberto Vila (), Narayanaswamy Balakrishnan (), Helton Saulo () and Peter Zörnig ()
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Roberto Vila: University of Brasília
Narayanaswamy Balakrishnan: McMaster University
Helton Saulo: University of Brasília
Peter Zörnig: University of Brasília

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 5, No 33, 4779-4806

Abstract: Abstract We present here a unit-log-symmetric model based on the bivariate log-symmetric distribution discussed in recent literature. It is a flexible family of distributions over the interval (0, 1). We then discuss its mathematical properties such as stochastic representation, identifiability, symmetry, modality, moments, quantile function, entropy and maximum likelihood estimation, paying particular attention to the special cases of unit-log-normal, unit-log-Student-t and unit-log-Laplace distributions. Finally, some empirical results and a real-life data analysis involving internet acess data are presented for illustrative purpose.

Keywords: Unit-log-symmetric distribution; Log-symmetric distribution; Bounded distributions (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-024-01879-w

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