Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/49192
Title: The logit exponentiated power exponential regression with applications
Keywords: Beta regression
Exponentiated power exponential distribution
Likelihood inference
Residual analysis
Regressão beta
Distribuição exponencial
Inferência estatística
Análise residual
Issue Date: Jun-2021
Publisher: Springer Nature
Citation: PRATAVIERA, F. et al. The logit exponentiated power exponential regression with applications. Annals of Data Science, [S. I.], 2021. DOI: https://doi.org/10.1007/s40745-021-00347-8.
Abstract: We introduce a new distribution, called the logit exponentiated power exponential, defined on the unit interval. Explicit expansions are derived for its moments. Also, we propose a regression based on this distribution with two systematic components, which can provide better fits than the beta and simplex regressions. Its parameters are estimated by maximum likelihood. Some simulations investigate the accuracy of the estimates. The usefulness of the new models is proved by means of three real data sets.
URI: https://doi.org/10.1007/s40745-021-00347-8
http://repositorio.ufla.br/jspui/handle/1/49192
Appears in Collections:DCS - Artigos publicados em periódicos

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