The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data
Methodology
2021-05-11 v1 Applications
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.
Cite
@article{arxiv.2105.03806,
title = {The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data},
author = {Danúbia R. Cunha and Jose A. Divino and Helton Saulo},
journal= {arXiv preprint arXiv:2105.03806},
year = {2021}
}
Comments
14 pages, 5 figures