2018/01/08 by J. Mazucheli, Mazucheli, J., A. F. B. Menezes +3
Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #stat.ME
paper · pdf · doi:10.48550/arxiv.1801.02512
17 pages, 4 figures
arxiv created 2018/01/08 · arxiv updated 2018/01/09
In this paper considering the transformation X=(Y)/(1+Y), where Y \simLindley(θ), we propose the unit-Lindley distribution and investigate some of its mathematical properties. A important fact associated with this new distribution is that is possible to obtain the analytical expression for bias correction of the maximum likelihood estimator. Moreover, it belongs to the exponential family. This distribution allows us to incorporate covariates directly in the mean and consequently to quantify the influence on the average of the response variable. Finally, a practical application is present and it is shown that our model fits much better than the Beta regression.