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arXiv · 2105.03806

The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data

Danúbia R. Cunha·Jose A. Divino·Helton Saulo
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Abstract

In this work, we propose a zero-adjusted log-symmetric quantile regression model. Initially, we introduce zero-adjusted log-symmetric distributions, which allow for the accommodation of zeros. The estimation of the parameters is approached by the maximum likelihood method and a Monte Carlo simulation is performed to evaluate the estimates. Finally, we illustrate the proposed methodology with the use of a real extramarital affairs data set.

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Danúbia R. Cunha, Jose A. Divino, Helton Saulo. 2021-05-09. The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data. https://arxiv.org/abs/2105.03806

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